F. Fischer, J. Fuchs, F. Mansmann and D. A. Keim. BANKSAFE: Visual analytics for big data in large-scale computer networks. Information Visualization Journal, 2013.

B. Hammer, D. A. Keim, N. Lawrence and G. Lebanon. Preface: Intelligent interactive data visualization. Data Mining and Knowledge Discovery Journal, 2013.

F. Fischer, J. Fuchs, F. Mansmann and D. A. Keim. Visual Analytics zur Firewall-Konfiguration und Analyse von Netzwerkverkehr. Informationssicherheit stärken - Vertrauen in die Zukunft schaffen: Tagungsband zum 13. Deutschen IT-Sicherheitskongress, SecuMedia Verlag, Gau-Algesheim, pages 273-283, 2013.

D. Perez, L. Zhang, M. Schaefer, T. Schreck, D. A. Keim and I. Diaz. Interactive Visualization and Feature Transformation for Multidimensional Data Projection. Proc. EuroVis Workshop on Visual Analytics Using Multidimensional Projections (to appear), 2013.

S. Mittelstädt, D. Spretke, B. Heyder, J. Kopp and D. A. Keim. Visual Analytics for Critical Infrastructures. International ETG Kongress, to appear, 2013.

D. A. Keim, M. Krstajic, C. Rohrdantz and T. Schreck. Real-time Visual Analytics of Text Data Streams. IEEE Computer, Special Issue on Visual Analytics. Published online first as early access article, 2013.

M. Behrisch, J. Davey, S. Simon, T. Schreck, D. A. Keim and J. Kohlhammer. Visual Comparison of Orderings and Rankings. Proc. EuroVis Workshop on Visual Analytics (to appear), 2013.

C. Rohrdantz, F. Mansmann, C. North and D. A. Keim. Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls. Information Visualization, SAGE, 2013.

D. Jäckle, H. Bosch, D. Thom, R. Krüger, D. A. Keim and T. Ertl. Visual Analysis of Social Media Data in Emergency Situations by Aggregating Annotated User Movements. 10th International Conference on Information Systems for Crisis Response and Management (Poster), to appear, 2013.

H. Janetzko, M. C. Hao, S. Mittelstädt, U. Dayal and D. A. Keim. Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading. Proceedings of the 46th Annual Hawaii International Conference on System Sciences, IEEE Computer Society, pages 1522-1531, 2013.

T. Schreck and D. A. Keim. Visual Analysis of Social Media Data. IEEE Computer, Special Issue on Cutting-Edge Research in Visualization. Published online first as early access article. , 2013.

M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, M. Hund, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu. Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization. In Proceedings of Visualization and Data Analysis, to appear, 2013.

M. Schaefer, L. Zhang, T. Schreck, A. Tatu, J. A. Lee, M. Verleysen and D. A. Keim. Improving projection-based data analysis by feature space transformations. In Proceedings of VDA 2013, 2013.

S. Kisilevich, C. Rohrdantz, M. Veronica and D. A. Keim. What do you think about this photo? A novel approach to opinion and sentiment analysis of photo comments. International Journal of Data Mining, Modelling and Management (IJDMMM) , 5(2):138-157, 2013.

S. Tekir, F. Mansmann and D. A. Keim. Geodesic Distances for Clustering Linked Text Data. Journal of Artificial Intelligence and Soft Computing Research, 2(4), 2012.

H. Strobelt, A. Stoffel, M. Spicker, D. A. Keim and O. Deussen. Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives. Comput. Graph. Forum, 31(3):1135-1144, 2012.

M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu. Exploring Cyber Physical Data Streams Using Radial Pixel Visualizations. Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), Honorable Mention Award, 2012.

D. Luo, J. Yang, M. Krstajic, W. Ribarsky and D. A. Keim. Visually Exploring Text Collections With Temporal References. Transactions on Visualization and Computer Graphics, 2012.

C. Rohrdantz, M. Krstajic, M. El Assady and D. A. Keim. What’s Going On? How Twitter and Online News Can Work in Synergy to Increase Situational Awareness. Published at the 2nd IEEE Workshop on Interactive Visual Text Analytics ”Task-Driven Analysis of Social Media” as part of the IEEE VisWeek 2012, October 15th, 2012, Seattle, Washington, USA, 2012.

F. Fischer, J. Fuchs, F. Mansmann and D. A. Keim. BANKSAFE: A Visual Situational Awareness Tool for Large-Scale Computer Networks (Award for Outstanding Comprehensive Submission). Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2012), pages 257-258, 2012.

M. C. Hao, M. Marwah, H. Janetzko, U. Dayal, D. A. Keim, D. Patnaik, N. Ramakrishnan and R. K. Sharma. Visual exploration of frequent patterns in multivariate time series. Information Visualization (IVS), Palgrave Macmillan, 11(1):71--83, 2012.

D. A. Keim, L. Zhang, M. Krstajic and S. Simon. Solving Problems with Visual Analytics: Challenges and Applications. Journal of Multimedia Processing and Technologies, Special Issue on Theory and Application of Visual Analytics(accepted), 3(1):1-11, 2012.

M. Behrisch, J. Davey, T. Schreck, J. Kohlhammer and D. A. Keim. Matrix-Based Visual Correlation Analysis on Large Timeseries Data. Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), 2012.

L. Zhang, A. Stoffel, M. Behrisch, S. Mittelstädt, T. Schreck, R. Pompl, S. Weber, H. Last and D. A. Keim. Visual analytics for the big data era - a comparative review of state-of-the-art commercial systems. Proceedings of IEEE Symposium on Visual Analytics Science and Technology, 2012.

A. Tatu, F. Maaß, I. Färber, E. Bertini, T. Schreck, T. Seidl and D. A. Keim. Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. Procedings of IEEE Symposium on Visual Analytics Science and Technology (VAST), IEEE CS Press, pages 63-72, 2012.

A. Tatu, L. Zhang, E. Bertini, T. Schreck, D. A. Keim, S. Bremm and T. von Landesberger. ClustNails: Visual Analysis of Subspace Clusters. Tsinghua Science and Technology, Special Issue on Visualization and Computer Graphics, 17(4):419-428, 2012.

M. Behrisch, M. Krstajic, T. Schreck and D. A. Keim. The News Auditor: Visual Exploration of Clusters of Stories. Proc. EuroVA International Workshop on Visual Analytics, Eurographics, pages 61-65, 2012.

A. Stoffel, L. Zhang, S. H. Weber and D. A. Keim. AMPLIO VQA – A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning. Proceedings of the International Workshop on Visual Analytics (EuroVA 2012), 2012.

A. Stoffel, H. Strobelt, O. Deussen and D. A. Keim. Document Thumbnails with Variable Text Scaling. 2012.

C. Rohrdantz, M. Hund, T. Mayer, B. Wälchli and D. A. Keim. The World's Languages Explorer: Visual Analysis of Language Features in Genealogical and Areal Contexts. Computer Graphic Forum (The definitive version is available at http://diglib.eg.org/ and http://onlinelibrary.wiley.com/), 31(3):935-944, 2012.

C. Rohrdantz, A. Niekler, A. Hautli, M. Butt and D. A. Keim. Lexical Semantics and Distribution of Suffixes - A Visual Analysis. Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH, 2012.

D. Oelke, B. Geißelmann and D. A. Keim. Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles. Proceedings of the International Workshop on Visual Analytics (EuroVA 2012), 2012.

J. Davey, F. Mansmann, J. Kohlhammer and D. A. Keim. Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions. Future Internet - From Technological Promises to Reality, Springer, 2012.

C. Rohrdantz, M. C. Hao, U. Dayal, L.-E. Haug and D. A. Keim. Feature-based Visual Sentiment Analysis of Text Document Streams. ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Visual Interfaces for Text Analysis (© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistr), 3(2):26, 2012.

D. Oelke, D. Spretke, A. Stoffel and D. A. Keim. Visual Readability Analysis: How to Make Your Writings Easier to Read. IEEE Transactions on Visualization and Computer Graphics, 18(5):662-674, 2012.

M. Krstajic, M. Najm-Araghi, F. Mansmann and D. A. Keim. Incremental Visual Text Analytics of News Story Development. Proceedings of Conference on Visualization and Data Analysis (VDA '12), 2012.

M. C. Hao, C. Rohrdantz, H. Janetzko, D. A. Keim, U. Dayal, L.-E. Haug and M. Hsu. Integrating Sentiment Analysis and Term Associations with Geo-Temporal Visualizations on Customer Feedback Streams. SPIE 2012 Conference on Visualization and Data Analysis (VDA 2012), 2012.

F. Mansmann, F. Fischer and D. A. Keim. Dynamic Visual Analytics - Facing the Real-Time Challenge. Expanding the Frontiers of Visual Analytics and Visualization, Springer, 2012.

F. Fischer, F. Mansmann and D. A. Keim. Real-Time Visual Analytics for Event Data Streams. Proceedings of the 2012 ACM Symposium on Applied Computing (SAC 2012), ACM, 2012.

B. Bustos, T. Schreck, M. Walter, J. M. Barrios, M. Schaefer and D. A. Keim. Improving 3D Similarity Search by Enhancing and Combining 3D Descriptors. Multimedia Tools and Applications, 2012.

A. Tatu, G. Albuquerque, M. Eisemann, P. Bak, H. Theisel, M. Magnor and D. A. Keim. Automated Visual Analysis Methods for an Effective Exploration of High-Dimensional Data. IEEE Transactions on Visualization and Computer Graphics (TVCG), 17(5):pp. 584-597, 2011.

S. Tekir, F. Mansmann and D. A. Keim. Geodesic Distances for Web Document Clustering. Proceedings of IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), IEEE, 2011.

F. Wanner, J. Fuchs, D. Oelke and D. A. Keim. Are my Children Old Enough to Read these Books? Age Suitability Analysis. POLIBITS - Research journal on Computer science and computer engineering with applications, 2011.

F. Wanner, T. Ramm and D. A. Keim. ForAVis - Explorative User Forum Analysis. Proceedings of the International Conference on Web Intelligence, Mining and Semantics, pages 14:1--14:10, 2011.

M. Schaefer, F. Wanner, F. Mansmann, C. Scheible, V. Stennett, A. T. Hasselrot and D. A. Keim. Visual Pattern Discovery in Timed Event Data. Proceedings of Conference on Visualization and Data Analysis, SPIE, 2011.

M. Schaefer, F. Wanner, R. Kahl, L. Zhang, T. Schreck and D. A. Keim. A Novel Explorative Visualization Tool for Financial Time Series Data Analysis. Proc. UKVAC Workshop on Visual Analytics, 2011.

S. Simon, D. Oelke, R. Landstorfer, K. Neuhaus and D. A. Keim. Visual Analysis of Next-Generation Sequencing Data to Detect Overlapping Genes in Bacterial Genomes. Proceedings of IEEE Symposium on Biological Data Visualization, October 23 - 24, Providence, Rhode Island, USA, pages 47-54, 2011.

D. Oelke, H. Janetzko, S. Simon, K. Neuhaus and D. A. Keim. Visual Boosting in Pixel-based Visualizations. Computer Graphics Forum, 30(3):871-880, 2011.

C. Rohrdantz, A. Hautli, T. Mayer, M. Butt, F. Plank and D. A. Keim. Towards Tracking Semantic Change by Visual Analytics. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (Short Papers), Association for Computational Linguistics, pages 305--310, 2011.

T. Mayer, C. Rohrdantz, F. Plank, M. Butt and D. A. Keim. A Quantitative Approach to the Contrast and Stability of Sounds. QITL-4 4th Conference on Quantitative Investigations in Theoretical Linguistics, pages 59-64, 2011.

J. Kohlhammer, D. A. Keim, G. Santucci, G. Andrienko and M. Pohl. Solving Problems with Visual Analytics. 2011.

M. Krstajic, E. Bertini and D. A. Keim. CloudLines: Compact Display of Event Episodes in Multiple Time-Series. IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 17():2432-2439, 2011.

D. A. Keim and H.-P. Kriegel. Visualization Techniques for Mining Large Databases: A Comparison. to be reprinted in Cluster Analysis, 2011.

D. A. Keim and L. Zhang. Solving problems with visual analytics: challenges and applications. Proceedings of I-KNOW 2011, 11th International Conference on Knowledge Management and Knowledge Technologies, ACM, 2011.

M. C. Hao, C. Rohrdantz, H. Janetzko, U. Dayal, D. A. Keim, L.-E. Haug and M. Hsu. Visual Sentiment Analysis on Twitter Data Streams (Poster Paper). Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST 2011), 2011.

M. C. Hao, H. Janetzko, S. Mittelstädt, W. Hill, U. Dayal, D. A. Keim, M. Marwah and R. K. Sharma. A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series. Computer Graphics Forum, 30(3):691--700, 2011.

G. Heyer, D. A. Keim, S. Teresniak and D. Oelke. Interaktive explorative Suche in großen Dokumentbeständen. Datenbank-Spektrum, Springer Berlin / Heidelberg, 11():195-206, 2011.

M. C. Hao, M. Marwah, H. Janetzko, R. K. Sharma, D. A. Keim, U. Dayal, D. Patnaik and N. Ramakrishnan. Visualizing Frequent Patterns in Large Multivariate Time Series. Proceedings of Visualization and Data Analysis 2011 (VDA 11), pages 10, 2011.

E. Bertini, A. Tatu and D. A. Keim. Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization. IEEE Symposium on Information Visualization (InfoVis), 17(12):pages 2203-2212, 2011.

S. Kisilevich, D. A. Keim, N. Andrienko and G. Andrienko. Towards acquisition of semantics of places and events by multi-perspective analysis of geotagged photo collections. 2011.

S. Kisilevich, D. A. Keim, R. Byshko, M. Tsibelman and L. Rokach. Developing a price management decision support system for hotel brokers using free and open source tools. 13th International Conference on Enterprise Information Systems (ICEIS 2011) (to appear), 2011.

S. Kisilevich, D. A. Keim, A. Lasry, L. Bam and L. Rokach. Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies. Lecture Notes in Business Information Processing 73, J. Filipe and J. Cordeiro (Eds.): ICEIS 2010, Springer, Heidelberg, pages 495--511, 2011.

S. Kisilevich, D. A. Keim, Y. Palivatkel and L. Rokach. Using multiplicative hybrid hedonic pricing model for improving revenue management in hotel business. "GeoViz Hamburg 2011: Linking Geovisualization with Spatial Analysis and Modeling", 2011.

E. Bertini, J. Buchmüller, F. Fischer, S. Huber, T. Lindemeier, F. Maaß, F. Mansmann, T. Ramm, M. Regenscheit, C. Rohrdantz, C. Scheible, T. Schreck, S. Sellien, F. Stoffel, M. Tautzenberger, M. Zieker and D. A. Keim. Visual Analytics of Terrorist Activities Related to Epidemics. Proc. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2011 - Grand Challenge Award), 2011.

G. Andrienko, N. Andrienko, P. Bak, D. A. Keim, S. Kisilevich and S. Wrobel. A Conceptual Framework and Taxonomy of Techniques for Analyzing Movement. Journal of Visual Languages and Computing, 2011.

G. Andrienko, N. Andrienko, P. Bak, S. Bremm, D. A. Keim, T. von Landesberger, C. Pölitz and T. Schreck. A framework for using Self-Organizing Maps to analyze spatio-temporal patterns, exemplified by analysis of mobile phone usage. Taylor & Francis Journal of Location Based Services, 4(3--4):200--221, 2010.

D. A. Keim, J. Kohlhammer, G. Ellis and F. Mansmann. Mastering The Information Age - Solving Problems with Visual Analytics. Eurographics, 2010.

M. O. Ward, G. Grinstein and D. A. Keim. Interactive Data Visualization: Foundations, Techniques, and Application. A. K. Peters, Ltd, 2010.

H. Ziegler, M. Jenny, T. Gruse and D. A. Keim. Visual Market Sector Analysis for Financial Time Series Data. Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST '10), 2010.

A. Tatu, P. Bak, E. Bertini, D. A. Keim and J. Schneidewind. Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. Proceedings of the Working Conference on Advanced Visual Interfaces (AVI '10), pages 49-56, 2010.

D. Oelke, D. Spretke, A. Stoffel and D. A. Keim. Visual Readability Analysis: How to make your writings easier to read. Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST '10), pages 123 - 130, 2010.

C. Rohrdantz, T. Mayer, M. Butt, F. Plank and D. A. Keim. Comparative visual analysis of cross-linguistic features. Proceedings of the International Symposium on Visual Analytics Science and Technology (EuroVAST 2010). The DEFINITIVE VERSION is available at diglib.eg.org., pages 27-32, 2010.

C. Rohrdantz, S. Koch, C. Jochim, G. Heyer, G. Scheuermann, T. Ertl, H. Schütze and D. A. Keim. Visuelle Textanalyse. Informatik-Spektrum., 33(6):601-611, 2010.

T. Mayer, C. Rohrdantz, F. Plank, P. Bak, M. Butt and D. A. Keim. Consonant co-occurrence in stems across languages: Automatic analysis and visualization of a phonotactic constraint. Proceedings of the ACL 2010 Workshop on NLP and Linguistics: Finding the Common Ground (NLPLING 2010), pages 67-75, 2010.

K. Neuhaus, D. Oelke, D. Fürst, S. Scherer and D. A. Keim. Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes. Proceedings of the 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO '10), pages 228-239, 2010.

D. J. Lehmann, G. Albuquerque, M. Eisemann, A. Tatu, D. A. Keim, H. Schumann, M. Magnor and H. Theisel. Visualisierung und Analyse multidimensionaler Datensätze. Informatik-Spektrum, Springer Berlin / Heidelberg, 33(6):589-600, 2010.

T. Mayer, C. Rohrdantz, M. Butt, F. Plank and D. A. Keim. Visualizing Vowel Harmony. Linguistic Issues in Language Technology, 4(Issue 2):1-33, 2010.

J. Kohlhammer, T. Ruppert, J. Davey, F. Mansmann and D. A. Keim. Information Visualisation and Visual Analytics for Governance and Policy Modelling. CROSSROAD Call for Contributions on Future Internet on ICT for Governance and Policy Modelling, 2010.

D. A. Keim, A. Pras, J. Schönwälder, P. Wong and F. Mansmann. Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic. Journal of Network and Systems Management, 18(2):232--236, 2010.

M. Krstajic, F. Mansmann, A. Stoffel, M. Atkinson and D. A. Keim. Processing Online News Streams for Large-Scale Semantic Analysis. Proceedings of the 1st International Workshop on Data Engineering meets the Semantic Web (DESWeb 2010), 2010.

D. A. Keim, D. Oelke and C. Rohrdantz. Analyzing Document Collections via Context-Aware Term Extraction. Proceedings of Natural Language Processing and Information Systems (NLDB '09), Springer Berlin / Heidelberg, pages 154-168, 2010.

D. A. Keim, M. Krstajic, P. Bak, D. Oelke and F. Mansmann. Methods for Interactive Exploration of Large-Scale News Streams. Web Intelligence and Security, IOS Press, 2010.

D. A. Keim, P. Bak, E. Bertini, D. Oelke, D. Spretke and H. Ziegler. Advanced Visual Analytics Interfaces. Proceedings of the International Working Conference on Advanced Visual Interfaces (AVI 10), The Association for Computing Machinery, Inc. (ACM), pages 3-11, 2010.

M. Krstajic, E. Bertini, F. Mansmann and D. A. Keim. Visual analysis of news streams with article threads. StreamKDD '10: Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, ACM, pages 39--46, 2010.

M. Krstajic, P. Bak, D. Oelke, M. Atkinson, W. Ribarsky and D. A. Keim. Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis. Proceedings of the 6th International Conference on Web Information Systems and Technologies (WEBIST 2010), 2010.

M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko. Visual Analytics of Large Multi-Dimensional Data Using Variable Binned Scatter Plots. Proceedings of Visualization and Data Analysis 2010 (VDA 10), SPIE, 2010.

M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko. Variable binned scatter plots. Information Visualization Journal (IVS), 9():194-203, 2010.

M. C. Hao, R. K. Sharma, U. Dayal, C. Patel, R. Vennelakanti and D. A. Keim. Application of Visual Analytics for Thermal State Management in Large Data Centers. Journal Computer Graphics Forum (CGF), 2010.

M. Litvak, H. Lipman, A. Ben-Gur, S. Kisilevich, D. A. Keim and M. Last. Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora. 4th International Workshop On Cross Lingual Information Access, 2010.

S. Kisilevich, C. Rohrdantz and D. A. Keim. "Beautiful picture of an ugly place". Exploring photo collections using opinion and sentiment analysis of user comments. Computational Linguistics & Applications (CLA 10), pages 419-428, 2010.

S. Kisilevich, F. Mansmann, P. Bak, D. A. Keim and A. Tchaikin. Where Would You Go on Your Next Vacation? - A Framework for Visual Exploration of Attractive Places. GeoProcessing 2010, pages 21-26, 2010.

S. Kisilevich, D. A. Keim and L. Rokach. GEO-SPADE: A generic Google Earth-based framework for analyzing and exploring spatio-temporal data. 12th International Conference on Enterprise Information Systems, pages 13-20, 2010.

S. Kisilevich, F. Mansmann and D. A. Keim. P-DBSCAN: A density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. 1st International Conference on Computing for Geospatial Research & Application, 2010.

S. Kisilevich, M. Krstajic, D. A. Keim, N. Andrienko and G. Andrienko. Event-based analysis of people's activities and behavior using Flickr and Panoramio geo-tagged photo collections. 2nd International Symposium Visual Analytics, 2010.

S. Kisilevich, D. A. Keim and L. Rokach. A novel approach to mining travel sequences using collections of geotagged photos. Proceedings of the 13th AGILE International Conference on Geographic Information Science, 2010.

G. Andrienko, N. Andrienko, S. Bremm, T. Schreck, T. von Landesberger, P. Bak and D. A. Keim. Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns. Computer Graphics Forum, 29(3):913-92, 2010.

G. Andrienko, N. Andrienko, P. Bak, S. Bremm, D. A. Keim, T. von Landesberger, C. Pölitz and T. Schreck. Analyzing Spatio-temporal Patterns of Mobile Phone Calls With Self-Organizing Maps. Journal of Location Based Services (JLBS), 2010.

F. Wanner, M. Schaefer, F. Leitner-Fischer, F. Zintgraf, M. Atkinson and D. A. Keim. DYNEVI - DYnamic News Entity VIsualization. Proceedings of the International Symposium on Visual Analytics Science and Technology (EuroVAST 2010), Eurographics, pages 69--74, 2010.

A. Stoffel, D. Spretke, H. Kinnemann and D. A. Keim. Enhancing Document Structure Analysis using Visual Analytics. Proceedings of the 2010 ACM symposium on Applied Computing (SAC '10), ACM, pages 8-12, 2010.

F. Wanner, C. Rohrdantz, F. Mansmann, A. Stoffel, D. Oelke, M. Krstajic, D. A. Keim, D. Luo, J. Yang and M. Atkinson. Large-scale Comparative Sentiment Analysis of News Articles (InfoVis 2009). 2009.

F. Wanner, C. Rohrdantz, F. Mansmann, D. Oelke and D. A. Keim. Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008. Proceedings of the IUI'09 Workshop on Visual Interfaces to the Social and the Semantic Web (VISSW 2009), 2009.

A. Tatu, G. Albuquerque, M. Eisemann, J. Schneidewind, H. Theisel, M. Magnor and D. A. Keim. Combining automated analysis and visualization techniques for effective exploration of high-dimensional data. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST '09), pages 59-66, 2009.

H. Strobelt, D. Oelke, C. Rohrdantz, A. Stoffel, D. A. Keim and O. Deussen. Document Cards: A Top Trumps Visualization for Documents. IEEE Transactions on Visualization and Computer Graphics, 15(6):1145-1152, 2009.

D. Oelke, M. C. Hao, C. Rohrdantz, D. A. Keim, U. Dayal, L.-E. Haug and H. Janetzko. Visual Opinion Analysis of Customer Feedback Data. Proceedings of the 2009 IEEE Symposium on Visual Analytics Science and Technology (VAST '09), pages 187-194, 2009.

G. Robertson, D. Ebert, S. Eick, D. A. Keim and K. Joy. Scale and complexity in visual analytics. Information Visualization, Palgrave Macmillan, 8(4):247--253, 2009.

H. Luo, J. Fan, D. A. Keim and S. Satoh. Personalized News Video Recommendation. Proceeding of the 16th ACM International Conference on Multimedia (MM '08), 2009.

F. Mansmann, F. Fischer, S. C. North and D. A. Keim. Visual Support for Analyzing Network Traffic and Intrusion Detection Events using TreeMap and Graph Representations. Proceedings of the 3rd ACM Symposium on Computer Human Interaction for the Management of Information Technology (CHiMiT '09), ACM, pages 19--28, 2009.

D. A. Keim, M. C. Hao, U. Dayal, H. Janetzko and P. Bak. Generalized Scatter Plots. Information Visualization Journal (IVS), Macmillan Publishers Ltd., 2009.

H. Janetzko, F. Mansmann, P. Bak and D. A. Keim. Northern Lights Maps: Spatiotemporal Exploration of Mice Movement. EuroVis2009 (Poster), 2009.

D. A. Keim, P. Bak and M. Schaefer. Dense pixel displays. Encyclopedia of Database Systems, Springer-Verlag, pages 789-795, 2009.

M. C. Hao, U. Dayal, D. A. Keim, R. K. Sharma and A. Mehta. Visual Analytics of Anomaly Detection in Large Data Streams. Proceedings of the Visualization and Data Analysis Conference (VDA 2009), 2009.

M. C. Hao, H. Janetzko, R. K. Sharma, U. Dayal, D. A. Keim and M. Castellanos. Visual Prediction of Time Series (Poster). Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2009), pages 229 - 230, 2009.

Y. Gao, J. Peng, H. Luo, D. A. Keim and J. Fan. An Interactive Approach for Filtering out Junk Images from Keyword Based Google Search Results. IEEE Transactions on Circuits and Systems for Video Technology, 19(12), 2009.

P. Bak, C. Rohrdantz, S. Leifert, C. Granacher, S. Koch, S. Butscher, P. Jungk and D. A. Keim. Integrative Visual Analytics for Suspicious Behavior Detection. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST Challenge 2009), 2009.

P. Bak, M. Schaefer, A. Stoffel, D. A. Keim and I. Omer. Density Equalizing Distortion of Large Geographic Point Sets. Journal of Cartographic and Geographic Information Science (CaGIS), 36(3):237--250, 2009.

P. Bak, F. Mansmann, H. Janetzko and D. A. Keim. Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps. IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(6):913-920, 2009.

G. Andrienko, N. Andrienko, P. Bak, S. Kisilevich and D. A. Keim. Analysis of community-contributed space- and time referenced data by example of Panoramio photos. Proceedings of the Vision, Modeling, and Visualization Workshop (VMV), 2009.

G. Andrienko, N. Andrienko, P. Bak, S. Kisilevich and D. A. Keim. Analysis of community-contributed space- and time-referenced data (example of flickr photos). Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2009), Poster Paper, 2009.

G. Andrienko, N. Andrienko, P. Bak, S. Kisilevich and D. A. Keim. Demo-Paper: Analysis of community-contributed space- and time referenced data (by example of Panoramio photos). Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, pages 540--541, 2009.

D. A. Keim, A. Pras, J. Schönwälder, P. C. Wong and F. Mansmann. Visualization and Monitoring of Network Traffic. Report on the Dagstuhl Seminar 09211, 2009.

D. A. Keim, J. Kohlhammer, G. Santucci, F. Mansmann, F. Wanner and M. Schaefer. Visual Analytics Challenges. Proceedings of eChallenges 2009, 2009.

F. Mansmann, F. Fischer, D. A. Keim, S. Pietzko and M. Waldvogel. Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks. Proceedings des 2. DFN Forum Kommunikationstechnologien, Verteilte Systeme im Wissenschaftsbereich, 2009.

D. A. Keim, F. Mansmann, A. Stoffel and H. Ziegler. Visual Analytics. Encyclopedia of Database Systems, Springer, 2009.

D. A. Keim, F. Mansmann and J. Thomas. Visual Analytics: How Much Visualization and How Much Analytics?. SigKDD Explorations Journal, 11(2), 2009.

H. Ziegler, T. Nietzschmann and D. A. Keim. Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments. Proceedings of the 12th conference on Information Visualization (IV 2008), IV-VDM Symposium on Visualization and Data Mining, IEEE Computer Society, pages 287-295, 2008.

H. Ziegler and D. A. Keim. COPERNICUS: Context-preserving engine for route navigation with interactive user-modifiable scaling. Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2008), Eurographics Association, pages 927-934, 2008.

T. Schreck, J. Schneidewind and D. A. Keim. An Image-Based Approach to Visual Feature Space Analysis. Proc. of the 16. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG '08), 2008.

T. Schreck, D. Fellner and D. A. Keim. Towards Automatic Feature Vector Optimization for Multimedia Applications. Proc. of the 23rd ACM Symposium on Applied Computing, Multimedia and Visualization track (ACM SAC), 2008.

D. Oelke, P. Bak, D. A. Keim, M. Last and G. Danon. Visual evaluation of text features for document summarization and analysis. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2008), pages 75 - 82, 2008.

D. A. Keim, M. C. Hao and U. Dayal. Visual Analytics Techniques for Large Multi-Attribute Time Series Data. Proceedings of the Visualization and Data Analysis Conference (VDA '08), SPIE, 2008.

D. A. Keim, F. Mansmann, D. Oelke and H. Ziegler. Visual Analytics: Combining Automated Discovery with Interactive Visualizations. Proceedings of the 11th International Conference on Discovery Science (DS 2008), Springer-Verlag, pages 2-14, 2008.

D. A. Keim, B. Bustos, S. Berchtold and H.-P. Kriegel. X-tree. Encyclopedia of GIS, Springer, 2008.

M. C. Hao, D. A. Keim, U. Dayal, D. Oelke and C. Tremblay. Density Displays for Data Stream Monitoring. Computer Graphics Forum, 27(3):895--902, 2008.

J. Fan, Y. Gao, H. Luo, D. A. Keim and Z. Li. A Novel Approach to Enable Semantic and Visual Image Summarization for Exploratory Image Search. Proceedings of the ACM International Conference on Multimedia Information Retrieval, 2008.

F. Fischer, F. Mansmann, D. A. Keim, S. Pietzko and M. Waldvogel. Large-Scale Network Monitoring for Visual Analysis of Attacks. VizSec '08: Proceedings of the 5th international workshop on Visualization for Computer Security, Springer-Verlag, pages 111--118, 2008.

P. Bak, D. A. Keim, M. Schaefer, A. Stoffel and I. Omer. Visual Analytics Using Density Equalizing Geographic Distortion. Geospatial Visual Analytics Workshop at Giscience, 2008.

D. A. Keim. Visual Analytics in Europe. NVAC Views, 2008.

J. Fan, D. A. Keim, Y. Gao and H. Luo. JustClick: Personalized Image Recommendation via Exploratory Search from Large-Scale Flickr Image Collections. IEEE Transactions on circuits and systems for video technology, 18(8), 2008.

D. A. Keim, F. Mansmann, J. Schneidewind, J. Thomas and H. Ziegler. Visual Analytics: Scope and Challenges. Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, 2008.

F. Mansmann, L. Meier and D. A. Keim. Visualization of Host Behavior for Network Security. Proceedings of the 4th Workshop on Visualization for Computer Security (VizSec 2007), Springer, 2008.

J. Thomas, D. A. Keim, J. Kielman and L. Rosenblum. Outlook for Visual Analytics Research Funding. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST), 2007.

D. A. Keim and D. Oelke. Literature Fingerprinting: A New Method for Visual Literary Analysis. Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology (VAST '07), IEEE Computer Society, pages 115--122, 2007.

D. A. Keim, D. Morent, J. Schneidewind, M. C. Hao and U. Dayal. Intelligent Visual Analytics Queries. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2007), 2007.

D. A. Keim and J. Thomas. Scope and Challenges of Visual Analytics. Tutorial at IEEE Visualization, 2007.

M. C. Hao, U. Dayal, D. A. Keim and T. Schreck. A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays. Proc. of the Visualization and Data Analysis Conference (VDA '07), SPIE, 2007.

B. Bustos, D. A. Keim, D. Saupe, T. Schreck and A. Tatu. Methods and User Interfaces for Effective Retrieval in 3D Databases (in German). Datenbank - Spektrum - Zeitschrift fuer Datenbank Technologie und Information Retrieval, dpunkt.verlag, 7(20):23--32, 2007.

D. A. Keim, M. C. Hao, U. Dayal and M. Lyons. Value-Cell Bar Charts for Visualizing Large Transaction Data Sets. IEEE Transactions on Visualization and Computer Graphics, 13(4), 2007.

D. A. Keim, G. Andrienko, J.-D. Fekete, C. Görg, J. Kohlhammer and G. Melancon. Visual Analytics: Definition, Process, and Challenges. Dagstuhl group report, 2007.

B. Bustos, D. A. Keim, D. Saupe and T. Schreck. Content-Based 3D Object Retrieval. IEEE Computer Graphics and Applications (CG&A), 27(4), 2007.

H. Ziegler, T. Nietzschmann and D. A. Keim. Visual exploration and discovery of atypical behavior in financial time series data using two-dimensional colormaps. In Proceedings of the 11th International Conference on Information Visualization (IV 07), IV-VDM Symposium on Visualization and Data Mining, IEEE Computer Society, pages 308-315, 2007.

D. A. Keim and J. Schneidewind. Introduction to the Special Issue on Visual Analytics. SIGKDD Explorations Special Issue on Visual Analytics, 9(2), 2007.

M. Agosti, S. Berretti, G. Brettlecker, A. del Bimbo, N. Ferro, N. Fuhr, D. A. Keim, C. P. Klas, T. Lidy, D. Milano, M. Norrie, P. Ranaldi, A. Rauber, H.-J. Schek, T. Schreck, H. Schuldt, B. Signer and M. Springmann. DelosDLMS - the Integrated DELOS Digital Library Management System. DELOS Conference on Digital Libraries, 13-14 February 2007, Pisa (Italy), 2007.

F. Mansmann, F. Fischer, D. A. Keim and S. C. North. Visualizing large-scale IP traffic flows. Proceedings of 12th International Workshop Vision, Modeling, and Visualization (VMV 2007), 2007.

F. Mansmann, D. A. Keim, S. C. North, B. Rexroad and D. Sheleheda. Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. IEEE Transactions on Visualization and Computer Graphics, IEEE Press, 13(6), 2007.

B. Bustos, D. Fellner, S. Havemann, D. A. Keim, D. Saupe and T. Schreck. Foundations of 3D Digital Libraries: Current Approaches and Urgent Research Challenges. Proceedings of the First International Workshop on Digital Libraries Foundations (DLF1), Vancouver, British Columbia, Canada, June 23, 2007. DELOS Network of Excellence on Digital Libraries, 2007.

D. A. Keim, J. Schneidewind and M. Sips. Scalable Pixel Based Visual Data Exploration. Pixelization Paradigm, Springer, pages 12--24, 2007.

H. Ziegler, T. Nietzschmann and D. A. Keim. Relevance Driven Visualization of Financial Performance Measures. In Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2007), Eurographics Association, pages 19-26, 2007.

D. A. Keim, G. Andrienko, N. Andrienko, P. Jankowski, M.-J. Kraak, A. MacEachren and S. Wrobel. Geovisual Analytics for Spatial Decision Support: Setting the Research Agenda. International Journal of Geographical Information Science (IJGIS), Taylor & Francis, 21(8):839--857, 2007.

M. Sips, J. Schneidewind and D. A. Keim. Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making. International Journal of Geographical Information Science (IJGIS), Taylor & Francis, 21(8):879--894, 2007.

S. Mansmann, F. Mansmann, M. H. Scholl and D. A. Keim. Hierarchy-driven Exploration of Multidimensional Data Cubes. Proceedings der 12. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW 2007), Aachen, Germany, Gesellschaft für Informatik, 2007.

J. Schneidewind, M. Sips and D. A. Keim. An Automated Approach for the Optimization of Pixel Based Visualizations. Palgrave Macmillan Information Visualization, 6(1):75-88, 2007.

M. C. Hao, D. A. Keim, U. Dayal and T. Schreck. Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. Eurographics/IEEE-VGTC Symposium on Visualization, 23 - 25 May 2007, Norrkoping, Sweden, 2007.

J. Meyer, J. Thomas, S. Diehl, B. Fisher, D. A. Keim, D. Laidlaw, S. Miksch, K. Mueller, W. Ribarsky, B. Preim and A. Ynnerman. From Visualization to Visually Enabled Reasoning. 2007.

J. Schneidewind, M. Sips and D. A. Keim. Pixnostics: Towards Measuring the Value of Visualization. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST '06), 2006.

D. A. Keim, D. Oelke, R. Truman and K. Neuhaus. Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. Proceeedings of 6th IEEE Symposium on BioInformatics and BioEngineering (BIBE '06), pages 183-192, 2006.

D. A. Keim, F. Mansmann, J. Schneidewind and T. Schreck. Monitoring Network Traffic with Radial Traffic Analyzer. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST '06), 2006.

D. A. Keim, F. Mansmann, J. Schneidewind and H. Ziegler. Challenges in Visual Data Analysis. Information Visualization (IV 2006), IEEE Press, 2006.

H. Janetzko, D. A. Keim, M. Kramis, F. Mansmann and M. Waldvogel. Interactive Poster: Exploring Block Access Patterns of Native XML Storage. Conference Compendium of IEEE Symposium on Information Visualization (InfoVis 2006), 2006.

M. C. Hao, D. A. Keim, U. Dayal and T. Schreck. Multi Resolution Techniques for Visual Exploration of Large Time-Series Data. Poster paper presented at the IEEE Symposium on Information Visualization (InfoVis 2006), 2006.

C. S. Merino, M. Sips, C. Panse, R. Spence and D. A. Keim. Task-At-Hand Interface for Change Detection in Stock Market Data. ACM Advanced Visual Interfaces International Working Conference AVI 2006, May 23-26, Venezia, Italy, ACM Press, 2006.

T. Schreck, D. A. Keim and F. Mansmann. Regular TreeMap Layouts for Visual Analysis of Hierarchical Data. Proceedings of the Spring Conference on Computer Graphics (SCCG'2006), ACM Siggraph, 2006.

D. A. Keim, T. Nietzschmann, N. Schelwies, J. Schneidewind, T. Schreck and H. Ziegler. A Spectral Visualization System for Analyzing Financial Time Series Data. Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2006), Eurographics Association, pages 195-200, 2006.

M. Sips, J. Schneidewind and D. A. Keim. Scalable Pixel-based Visual Data Exploration. IEEE EMBS Visual Information Expert Workshop (VIEW 06), Paris, France, April 24-25, Springer Lecture Notes in Computer Science (LNCS) 4370, 2006.

D. A. Keim, J. Schneidewind, M. C. Hao and U. Dayal. Business Process Impact Visualization and Anomaly Detection. Palgrave Macmillan Information Visualization, 5(1), 2006.

S. Mansmann, M. H. Scholl, D. A. Keim and F. Mansmann. Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques. Presented at the IEEE Symposium on Information Visualization (InfoVis 2006), 2006.

M. Sips, J. Schneidewind and D. A. Keim. Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making. Workshop on Visualization, Analytics & Spatial Decision Support at the GIScience conference, September 20, 2006, Muenster, Germany, 2006.

C. Panse, M. Sips, D. A. Keim and S. C. North. Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2006), IEEE Press, 12(5):749-756, 2006.

M. Sips, J. Schneidewind, D. A. Keim and H. Schumann. Scalable Pixel-based Visual Interfaces: Challenges and Solutions. Information Visualization (IV 2006), IEEE Press, 2006.

T. Schreck, D. A. Keim and C. Panse. Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering. Proc. IEEE Int. Conference on Multimedia and Expo (ICME'2006). Toronto, Canada, July 9-12, 2006.

B. Bustos, O. Deussen, S. Hiller and D. A. Keim. A Graphics Hardware Accelerated Algorithm for Nearest Neighbor Search. Proceedings of the International Conference on Computational Science (ICCS'06) Part IV, LNCS 3994, Springer, pages 196-199, 2006.

B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic. An Experimental Effectiveness Comparison of Methods for 3D Similarity Search. International Journal on Digital Libraries, Special, Springer, 6(1):39-54, 2006.

D. A. Keim, J. Schneidewind, C. Panse, M. Sips, J. Haddick, F. Dill and H. Dolfing. IVC05 Exploration Toolkit. InfoVis 2005 Contest Paper (Honorable Mention), IEEE Symposium on Information Visualization (InfoVis 2005), 2005.

D. A. Keim, J. Schneidewind and M. Sips. FP-Viz: Visual Frequent Pattern Mining. Proceedings of IEEE Symposium on Information Visualization (InfoVis '05), Poster Paper, 2005.

M. C. Hao, D. A. Keim, U. Dayal and T. Schreck. Importance-Driven Visualization Layouts for Large Time Series Data. Proc. of IEEE Symposium on Information Visualization (InfoVis '05), 2005.

U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright. VisImpact: business impact visualization. Proceedings of the Visualization and Data Analysis Conference (VDA '05), SPIE, 2005.

U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright. Visual mining geo-related data using pixel bar charts. Proceedings of the Visualization and Data Analysis Conference (VDA '05), SPIE, 2005.

B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic. Feature-based Similarity Search in 3D Object Databases. ACM Computing Surveys (CSUR), Association for Computing Machinery, 37(4):345-387, 2005.

B. Bustos, D. A. Keim and T. Schreck. A pivot-based index structure for combination of feature vectors. Proc. 20th Annual ACM Symposium on Applied Computing, Multimedia and Visualization Track (SAC-MV'05), ACM Press, pages 1180-1184, 2005.

D. A. Keim, F. Mansmann and T. Schreck. Analyzing Electronic Mail using Temporal, Spatial, and Content-based Visualization Techniques. LNI Tagungsbaende Informatik 2005, Spt. 19-22, Bonn, Germany, 2005.

D. A. Keim, F. Mansmann and T. Schreck. MailSOM - Visual Exploration of Electronic Mail Archives Using Self-Organizing Maps. Proc. of the 2nd Conference on Email and Anti-Spam (CEAS 2005), 2005.

U. Dayal, M. C. Hao, D. A. Keim and J. Schneidewind. VisBiz: A Business Process Visualization Case Study. EuroVis 2005: Eurographics/IEEE-VGTC Symposium on Visualization, Leeds, United Kingdom June 1st-3rd, 2005.

D. A. Keim, F. Mansmann, C. Panse, J. Schneidewind and M. Sips. Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2005), 2005.

D. A. Keim and J. Schneidewind. Scalable Visual Data Exploration of Large Data Sets via MultiResolution. JUCS Special Issue on Visual Data Mining, 11(11):1766-1779, 2005.

D. A. Keim, C. Panse and S. C. North. Medial-Axis-Based Cartograms. IEEE Computer Graphics and Applications, 25(3):pp. 60-68, 2005.

D. A. Keim, C. Panse and M. Sips. Information Visualization: Scope, Techniques and Opportunities for Geovisualization. Exploring Geovisualization, Oxford: Elsevier, 2004.

D. A. Keim and B. Bustos. Similarity Search in Multimedia Databases. Proceedings of the 20th International Conference on Data Engineering, IEEE Computer Society, pages 873--, 2004.

R. Heilmann, D. A. Keim, C. Panse and M. Sips. RecMap: Rectangular Map Approximations. Proceedings of IEEE Symposium on Information Visualization (InfoVis '04), 2004.

U. Dayal, M. C. Hao, D. A. Keim and J. Schneidewind. Visual Mining of Business Process Data. Proceedings of IEEE Symposium on Information Visualization (InfoVis '04), Poster Paper, 2004.

B. Bustos, D. A. Keim, C. Panse and T. Schreck. 2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. Poster Paper, IEEE Visualization Conference (VIS'2004). October 10-15, Austin, Texas, USA, 2004.

D. A. Keim and W. Lehner. Data Mining und Data Warehousing. Datenbank-Spektrum, dpunkt.verlag, 9():5, 2004.

D. A. Keim and N. Koudas. Introduction to special issue with best papers from KDD 2002. Information Systems, Elsevier Science, 29(4):271-272, 2004.

D. A. Keim, J. Schneidewind and M. Sips. CircleView - A New Approach for Visualizing Time related Multidimensional Data Sets. ACM Advanced Visual Interfaces, International Working Conference, AVI 2004, May 25-28, Gallipoli (Lecce), Italy, ACM Press, 2004.

B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic. Automatic Selection and Combination of Descriptors for Effective 3D Similarity Search. Proc. IEEE International Workshop on Multimedia Content-based Analysis and Retrieval (MCBAR'04), IEEE Computer Society, pages 514-521, 2004.

B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic. An Experimental Comparison of Feature-Based 3D Retrieval Methods. Proc. Second International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'2004). Thessaloniki, Greece, September 6-9 (Poster Paper), IEEE CS Press, pages 215-222, 2004.

B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic. Using Entropy Impurity for Improved 3D Object Similarity Search. Proc. IEEE International Conference on Multimedia and Expo (ICME'04), IEEE, pages 1303-1306, 2004.

D. A. Keim, M. Heczko, A. Hinneburg and M. Wawryniuk:. Multi-Resolution Similarity Search in Image Databases. ACM/Springer Multimedia Systems Journal, 10(1):28-40, 2004.

D. A. Keim, P. Vassiliadis, B. Catania, Y. Theodoridis and C. Robardet. Pattern management challenges. From Data to Patterns: Int. Workshop on Pattern Representation and Management, PaRMa`04, Heraklion - Crete, Greece, March 18, 2004.

U. Dayal, M. C. Hao and D. A. Keim. VizBiz: A Simplified Visualization of Business Operation, Poster-paper. VIS 2004, IEEE Symposium on Visualization, Austin, Texas, USA, 2004.

D. A. Keim, O. Deussen, C. D. Hansen and D. Saupe. VisSym 2004. Proceedings of the Symposium on Visualization, Konstanz, Germany, May 19-21, Eurographics Association, 2004.

D. A. Keim. Datenvisualisierung und Data Mining. Book Chapter in: Grundlagen der praktischen Information und Dokumentation by Rainer Kuhlen, Thomas Seeger, Dietmar Strauch, Saur Verlag München, pages 363-369, 2004.

D. A. Keim, T. Munzner and S. C. North. Guest Editor's Introduction: Special Section on InfoVis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(4):446, 2004.

D. A. Keim, C. Panse, M. Sips, J. Schneidewind and H. Barro. Exploring and Visualizing the History of InfoVis. IEEE Symposium on Information Visualization 2004 (InfoVis04) Contest Poster (2nd place award), Austin, Texas, USA, 2004.

A. Amir, R. Kashi, D. A. Keim, N. S. Netanyahu and M. Wawryniuk:. Shape-Embedded-Histograms for Visual Data Mining. VisSym, Eurographics Association, pages 55-64, 341, 2004.

D. A. Keim and T. Ertl. Wissenschaftliche Visualisierung. it - Information Technology, Oldenbourg, 46(3):109-110, 2004.

and D. A. Keim. Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte. it - Information Technology, Oldenbourg, 46(3):148-153, 2004.

D. A. Keim, S. C. North and C. Panse. CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(1):95-110, 2004.

D. A. Keim, S. C. North, C. Panse and M. Sips. Pixel based Visual Mining of Geo-Spatial Data. Computers & Graphics (CAG), Elsevier Science, 28(3):327-344, 2004.

D. A. Keim, S. C. North, C. Panse and M. Sips. Visual Data Mining in Large Geo-Spatial Point Sets. IEEE Computer Graphics and Applications (CG&A), Special Issue: Visual Analytics, IEEE Press, 12(5):36-44, 2004.

D. A. Keim, C. Panse, J. Schneidewind and M. Sips. Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG 2004, The 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, February 2 - 6, University of West Bohemia, Campus Bory, Plzen, Czech Republic, 2004.

D. A. Keim, C. Panse, J. Schneidewind and M. Sips. Analyzing Large Collections of E-Mail. IKE'04 - The 2004 International Conference on Information and Knowledge Engineering, June 21 - 24, 2004, Las Vegas, Nevada, USA, CSREA Press, 2004.

R. Heilmann, D. A. Keim, C. Panse, J. Schneidewind and M. Sips. Finding Spatial Patterns in Network Data. From Data to Patterns: Int. Workshop on Pattern Representation and Management, PaRMa`04, Heraklion - Crete, Greece, March 18, 2004.

D. A. Keim, M. Ankerst and M. Sips. Visual Data-Mining Techniques. Book Chapter in: Visualization Handbook by Johnson and Hanson, Kolam Publishing, pages 813-825, 2004.

D. A. Keim, M. Ankerst and M. Sips. Visual Data Mining Techniques. Visualization Handbook, Elsevier, pages 813-825, 2004.

F. Casati, U. Dayal, M. C. Hao, D. A. Keim and J. Schneidewind. Interactive-Poster: Business Impact Visualization. Proceedings of IEEE Symposium on Information Visualization (InfoVis '03), Poster Paper, 2003.

D. A. Keim, C. Panse and M. Sips. Visual Data Mining of Large Spatial Data Sets. Databases in Networked Information Systems, Third International Workshop, DNIS'03, Aizu, Japan, September 22-24, Lecture Notes in Computer Science, Vol. 2822, 2003.

A. Hinneburg, D. A. Keim, M. Wawryniuk:, A. Amir, R. Kashi and N. S. Netanyahu. Analyzing High-Dimensional Data by Subspace Validity. ICDM 2003, IEEE, pages 473-476, 2003.

M. L. Kersten, G. Weikum, M. J. Franklin, D. A. Keim, A. Buchmann and S. Chaudhuri. A Database Striptease or How to Manage Your Personal Databases. VLDB 2003, Proceedings of 29th International Conference on Very Large Data Bases, September 9-12, 2003, Berlin, Germany, Morgan Kaufmann, pages 1043-1044, 2003.

A. Hinneburg and D. A. Keim. Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art, Kluwer, pages 407-422, 2003.

A. Hinneburg, D. A. Keim and M. Wawryniuk:. Using Projections to Visually Cluster High--Dimensional Data. IEEE Computing in Science & Engineering, 5(2):14--25, 2003.

U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright. Geo Pixel Bar Charts, Poster-paper. VIS 2003, IEEE Visualization, Seattle, Washington, 2003.

D. A. Keim, S. C. North, C. Panse and J. Schneidewind. Visualizing Geographic Information: VisualPoints vs CartoDraw. Palgrave Macmillan -- Information Visualization, 2(1):58--67, 2003.

A. Hinneburg and D. A. Keim. A General Approach to Clustering in Large Databases with Noise. Knowledge and Information Systems (KAIS), Springer, 5(4):387-415, 2003.

D. J. Hand, D. A. Keim and R. T. Ng. Guest Editorial. Data Mining and Knowledge Discovery. Data Mining and Knowledge Discovery, 7(4):347-348, 2003.

D. J. Hand, D. A. Keim and R. T. Ng. Guest Editorial. Data Mining and Knowledge Discovery. Data Mining and Knowledge Discovery, 7(3):239-240, 2003.

D. A. Keim, C. Panse, J. Schneidewind, M. Sips, M. C. Hao and U. Dayal. Pushing the Limit in Visual Data Exploration: Techniques and Applications. Advances in Artificial Intelligence, 26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, Lecture Notes in Artificial Intelligence, Vol. 2821, 2003.

A. Hinneburg, D. A. Keim and M. Wawryniuk:. HD-Eye: Visual Clustering of High--Dimensional Data. 19th International Conference on Data Engineering (ICDE 2003), IEEE Computer Society, pages 753--755, 2003.

D. A. Keim, C. Panse, M. Schaefer and M. Sips. HistoScale: An Efficient Approach for Computing Pseudo-Cartograms, Poster Paper. Vis 2003, IEEE Visualization Conference, Seattle, Washington, USA, 2003.

D. A. Keim, S. C. North, C. Panse and M. Sips. PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. ICDM 2003, The Third IEEE International Conference on Data Mining, 19-22 November 2003, Melbourne, Florida, USA, IEEE Computer Society, 2003.

D. A. Keim, S. C. North, C. Panse and J. Schneidewind. Efficient Cartogram Generation: A Comparison. Proceedings of IEEE Symposium on Information Visualization (InfoVis '02), pages 33-36, 2002.

D. A. Keim. Datenvisualisierung und Data Mining. Datenbank-Spektrum, 2(2):30--39, 2002.

G. Grinstein, M. Ankerst and D. A. Keim. Visual Data Mining: Background, Techniques, and Drug Discovery Applications. Tutorial KDD 2002, 2002.

G. Grinstein, D. A. Keim and M. O. Ward. Information Visualization, Visual Data Mining, and Its Application to Drug Design. Tutorial Visualization 2002, 2002.

M. Heczko, D. A. Keim, D. Saupe and D. Vranic. Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Proc. Datenbanksysteme in Büro, Technik und Wissenschaft (BTW'01), Oldenburg, 2001; extended version in Datenbank Spektrum, 2(1):54--63, 2002.

M. Heczko, A. Hinneburg, D. A. Keim and M. Wawryniuk:. Multi-Resolution Similarity Search in Image Databases. Proc. 8th Int. Workshop on Multimedia Information Systems, Tempe, Arizona, USA, Arizona State University, pages 76--85, 2002.

S. G. Eick and D. A. Keim. Visual Data Mining. KDD Workshop Report. SIGKDD Explorations, 3(2):70, 2002.

D. A. Keim. Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(1):1--8, 2002.

D. A. Keim, M. C. Hao, U. Dayal and M. Hsu. Pixel Bar Charts: A Visualization Technique for Very Large Multi-Attribute Data Sets. Visualization, San Diego 2001, extended version in: Information Visualization Journal, Palgrave, 1(2), 2002.

A. Hinneburg, D. A. Keim and M. Wawryniuk:. HD-Eye: Visual Clustering of High--Dimensional Data. Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, Madison, Wisconsin, ACM Press, pages 629--629, 2002.

D. A. Keim and M. O. Ward. Visual Data Mining Techniques. Intelligent Data Analysis, an Introduction by D. Hand and M. Berthold, Springer, 2002.

D. A. Keim, M. C. Hao and U. Dayal. Hierarchical Pixel Bar Charts. IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(3):255--269, 2002.

D. A. Keim. Data Mining mit bloßem Auge. Spektrum der Wissenschaft, 2002.

D. A. Keim and M. Ankerst. Visual Data Mining and Exploration of Large Databases. Tutorial PKDD 2001, 2001.

M. Heczko and D. A. Keim. Wavelets and their Applications in Databases, Tutorial at the 17th International Conference on Data Engineering (ICDE'01). Tutorial at the 17th International Conference on Data Engineering (ICDE'01), 2001.

C. Böhm, S. Berchtold and D. A. Keim. Searching in High--Dimensional Spaces: Index Structures for Improving the Performance of Multimedia Databases. ACM Computing Surveys, 33(3):322--373, 2001.

S. Berchtold, C. Böhm, D. A. Keim, F. Krebs and H.-P. Kriegel. On Optimizing Nearest Neighbor Queries in High--Dimensional Spaces. Proc. 8th Int. Conf. on Database Theory, pages 435--449, 2001.

S. Berchtold, C. Böhm and D. A. Keim. A Model for Optimizing Nearest Neighbor Queries in High-Dimensional Space. Proc. 8th Int. Conf. on Database Theory (ICDT), London, UK, 2001.

M. Heczko, D. A. Keim, D. Saupe and D. Vranic. Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Proc. Datenbanksysteme in Büro, Technik und Wissenschaft, Oldenburg, pages 384--401, 2001.

D. A. Keim. Visual Exploration of Large Data Sets. Communications of the ACM (CACM), 44(8):38--44, 2001.

D. A. Keim, M. C. Hao, J. Ladisch, M. Hsu and U. Dayal. Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation. Visualization 2001, Los Angeles, pages 113, 2001.

C. C. Aggarwal, A. Hinneburg and D. A. Keim. On the Surprising Behavior of Distance Metric in High-Dimensional Space. Proc. 8th Int. Conf. on Database Theory, London, pages 420--434, 2001.

D. A. Keim. Visual Data Exploration. Tutorial Notes, 2000.

D. A. Keim. Information Visualization Techniques for Exploring Large Databases. Visual Databases, 2000.

D. A. Keim. An Introduction to Information Visualization Techniques for Exploring Large Databases. Tutorial Notes, 2000.

S. Berchtold and D. A. Keim. High-Dimensional Index Structures - Databases Support for Next Decade's Applications's, Tutorial at ICDE00. 2000.

A. Hinneburg, D. A. Keim and W. Brandt. Clustering 3D--structures of Small Aminoacid--chains for Detecting Dependence from Their Sequential Context in Proteins. 1st IEEE Int. Symposium on Bio-Informatics & Biomedical Engineering (BIBE), Arlington, Virginia, USA, pages 43--49, 2000.

A. Hinneburg, D. A. Keim and C. C. Aggarwal. What is the nearest neighbor in high dimensional spaces?. Proc. 26th Int. Conf. on Very Large Databases, Cairo, Egypt, 2000.

S. Berchtold, C. Böhm, D. A. Keim, H.-P. Kriegel and X. Xu. Optimal Multidimensional Query Processing Using Tree Striping. Lecture Notes in Computer Science, Springer, 1874(), 2000.

S. Berchtold, D. A. Keim, H.-P. Kriegel and T. Seidl. Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High--Dimensional Space. IEEE Transactions on Knowledge and Data Engineering (TKDE), 12(1):45--57, 2000.

S. Berchtold, C. Böhm, D. A. Keim, H.-P. Kriegel and X. Xu. Optimal Multidimensional Query Processing Using Tree Striping. Proc. 2nd Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK'00), London, UK, pages 244--257, 2000.

D. A. Keim, M. Heczko and R. Weber. Analysis of the Effectiveness-Efficiency Dependance for Image Retrieval. Proc. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries, 2000.

S. Conrad, G. Saake, K.-U. Sattler and D. A. Keim. Informationsfusion-Herausforderungen an die Datenbank- und Visualisierungstechnologie. Simulation und Visualisierung, Magdeburg, Germany, 2000.

D. A. Keim. Designing Pixel-oriented Visualization Techniques: Theory and Applications. IEEE Transactions on Visualization and Computer Graphics (TVCG), 6(1):59--78, 2000.

D. A. Keim and A. Hinneburg. Interesting KDD--News from SIGMOD'99. SIGKDD Explorations, 1(2):117, 2000.

D. A. Keim and A. Hinneburg. Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Record, 28(2), 1999.

A. Hinneburg and D. A. Keim. Clustering Techniques for Large Data Sets: From the Past to the Future. KDD '99: Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, pages 141--181, 1999.

D. A. Keim. Efficient Geometry--based Similarity Search of 3D Spatial Databases. Proc. ACM SIGMOD Int. Conf. on Management of Data, Philadelphia, PA, ACM Press, pages 419--430, 1999.

J. Abello, E. R. Gansner, D. A. Keim, E. Koutsofios, S. C. North and R. Truscott. Visualizing Large-Scale Telecommunication Networks and Services. Proc. AT&T Software Symposium, 1999.

D. A. Keim, E. Koutsofios and S. C. North. Visual Exploration of Large Telecommunication Data Sets. Proc. 1st Int. Workshop on User Interfaces In Data Intensive Systems (UIDIS'99) (Invited Talk), Edinburgh, Scotland, pages 12--20, 1999.

D. A. Keim, E. Koutsofios, S. C. North and C. Ganssner. Visualization Techniques at Work in Large Scale Telecommunication Applications. Proc. Visualization'99, San Francisco, CA, pages 457--461, 1999.

E. Koutsofios, S. C. North, R. Truscott and D. A. Keim. Visualizing Large-Scale Telecommunication Networks and Services (case study). Proc. IEEE Visualization 1999 (Vis'99), San Francisco, California, USA, pages 457--461, 1999.

D. A. Keim. Visual Mining of High-Dimensional Data. Euro-American Workshop on Visualization of Information and Data, Paris, 1999.

D. A. Keim. Visual Data Exploration. Simulation und Visualisierung '99, Magdeburg, Germany, pages 397-400, 1999.

A. Hinneburg, M. Wawryniuk: and D. A. Keim. HD-Eye: Visual Mining of High-Dimensional Data. IEEE Computer Graphics & Applications Journal, 19(5):22--31, 1999.

E. Koutsofios, D. A. Keim and S. C. North. Visualizing Large Telecommunication Data Sets. IEEE Computer Graphics & Applications Journal, 19(3):16--19, 1999.

A. Hinneburg and D. A. Keim. Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. Proc. 25th Int. Conf. on Very Large Data Bases (VLDB), Edinburgh, Scotland, pages 506--517, 1999.

D. A. Keim. Visual Database Exploration. 1998.

M. Ankerst, S. Berchtold and D. A. Keim. Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. Proceedings of IEEE Symposium on Information Visualization (InfoVis '98), pages 52--60, 1998.

S. Berchtold and D. A. Keim. High--dimensional Index Structures -- Database Support for Next Decades's Applications. Tutorial at SIGMOD 1998, 1998.

S. Berchtold, B. Ertl, D. A. Keim, H.-P. Kriegel and T. Seidl. Fast Nearest Neighbor Search in High--Dimensional Spaces. Proc. 14th Int. Conf. on Data Engineering (ICDE'98), Orlando, FL, IEEE CS, pages 209--218, 1998.

S. Berchtold and D. A. Keim. Section Coding: A Similarity Search Technique for the Car Manufacturing Industry. Proc. Int. Workshop on Issues and Applications of Database Technology (IADT'98), Berlin, Germany, pages 256--263, 1998.

A. Herrmann and D. A. Keim. The Gridfit Algorithm: An Efficient and Effective Approach to Visualizing Large Amounts of Spatial Data. Proc. Visualization '98, Research Triangle Park, NC, pages 181--188, 531, 1998.

D. A. Keim. Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. GI-Jahrestagung, Magdeburg, Germany, Lecture Notes, Springer, 1998.

A. Hinneburg, D. A. Keim and W. Brandt. Detecting Relationships between Amino Acid Residue Sequences and 3D Protein Structures based on a New Class of Rotamer Libraries. Proc. German Conf. on Bioinformatics (GCB'98), Köln, 1998.

A. Hinneburg, D. A. Keim and W. Brandt. Detecting dependencies between the 3D-structure of small aminoacid-chains and their sequential context in proteins. Proc. German Conf. on Bioinformatics (GCB'98), Köln, 1998.

A. Hinneburg and D. A. Keim. An Efficient Approach to Clustering in Large Multimedia Databases with Noise. Proc. 4th Int. Conference on Knowledge Discovery in Databases (KDD'98), New York, NY, pages 58--65, 1998.

D. A. Keim. Visual Techniques for Exploring Databases. Tutorial Slides KDD97, 1997.

D. A. Keim. Visual Data Mining. Tutorial Slides, 1997.

S. Berchtold, C. Böhm, B. Braunmüller, D. A. Keim and H.-P. Kriegel. Fast Parallel Similarity Search in Multimedia Databases. Proc. ACM SIGMOD Int. Conf. on Management of Data, Tucson, AZ (Best Paper Award), ACM Press, pages 1--12, 1997.

S. Berchtold, D. A. Keim and H.-P. Kriegel. Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD Datenbanken. Proc.\ Datenbanksysteme in Büro, Technik und Wissenschaft (BTW'97), Ulm in: Informatik Aktuell, Springer, pages 152--171, 1997.

S. Berchtold, D. A. Keim and H.-P. Kriegel. Using Extended Feature Objects for Partial Similarity Retrieval. VLDB Journal, 6(4):333--348, 1997.

S. Berchtold, C. Böhm, D. A. Keim and H.-P. Kriegel. A Cost Model for Nearest Neighbor Search in High--Dimensional Data Space. Proc. ACM PODS Symp. on Principles of Database Systems, Tuscon, AZ, ACM Press, pages 78--86, 1997.

D. A. Keim and M. O. Ward. Screen Layout Methods for Multidimensional Visualization. Euro-American Workshop on Visualization of Information and Date, Paris, 1997.

D. A. Keim. Databases and Visualization. Tutorial at SIGMOD 1996, 1996.

D. A. Keim. Information Visualization. Tutorial Notes, Postgraduate Course, EPFL, 1996.

D. A. Keim. Pixel-oriented Visualization Techniques for Exploring Very Large Databases. Journal of Computational and Graphical Statistics, 5(1):58--77, 1996.

D. A. Keim and H.-P. Kriegel. Visualization Techniques for Mining Large Databases: A Comparison. Transactions on Knowledge and Data Engineering, pages 923--938, 1996.

D. A. Keim. Pixel-oriented Database Visualizations. SIGMOD Record, Special Issue on Information Visualization, 1996.

D. A. Keim. TestVis: A Test Data Generation Tool for Comparing Visual Database Exploration Techniques. Workshop on Foundations of Advanced Information on Visualization, Italy, 1996.

M. Ankerst, D. A. Keim and H.-P. Kriegel. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. Visualization '96, Hot Topic Session, San Francisco, CA, 1996.

D. A. Keim and H.-P. Kriegel. Visualisierung großer Datenbanken. Data Warehouse und Management Information Systeme, Schäfer--Poeschel Verlag Stuttgart, 1996.

S. Berchtold, D. A. Keim and H.-P. Kriegel. The X-Tree: An Index Structure for High--Dimensional Data. Proc. 22th Int. Conf. on Very Large Databases (VLDB'96), Bombay, India, Morgan Kaufmann, pages 28--39, 1996.

D. A. Keim and H.-P. Kriegel. Visualisierungstechniken zur Exploration und Analyse sehr grosser Datenbanken. Proc. Datenbanksysteme in Büro, Technik und Wissenschaft, Dresden, In Informatik Aktuell, Springer, pages 262--281, 1995.

D. A. Keim, H.-P. Kriegel and M. Ankerst. Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. Proc. Visualization '95, Atlanta, GA, pages 279--286, 1995.

D. A. Keim, J. P. Lee, B. Thuraisinghaman and C. Wittenbrink. Database Issues for Data Visualization: Supporting Interactive Database Exploration. Lecture Notes in Computer Science, No. 1183, Springer, pages 12--25, 1995.

D. A. Keim and H.-P. Kriegel. Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data. Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995.

D. A. Keim, R. D. Bergeron and R. M. Pickett. Test Data Sets for Evaluating Data Visualization Techniques. Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995.

D. A. Keim and H.-P. Kriegel. Issues in Visualizing Large Databases. Proc. Conf. on Visual Database Systems (VDB'95), Lausanne, Schweiz, März 1995, in: Visual Database Systems, Chapman & Hall Ltd., pages 203--214, 1995.

D. A. Keim. Enhancing the Visual Clustering of Query-dependent Database Visualization Techniques using Screen-Filling Curves. Lecture Notes in Computer Science, No. 1183, Extended Abstract, Springer, pages 101--110, 1995.

D. A. Keim and H.-P. Kriegel. VisDB: Database Exploration using Multidimensional Visualization. IEEE Computer Graphics & Application Journal, 14(5):40--49, 1994.

D. A. Keim. Visual Support for Query Specification and Data Mining System. 1994.

D. A. Keim, H.-P. Kriegel and T. Seidl. Supporting Data Mining of Large Databases by Visual Feedback Queries. Proc. 10th Int. Conf. on Data Engineering, Houston, TX, pages 302--313, 1994.

J. Boyle, S. Eick, M. Hemmje, D. A. Keim, J. P. Lee and E. Sumner. Database Issues for Data Visualization: Interaction, User Interfaces, and Presentation. Lecture Notes in Computer Science, No. 871, Springer, pages 210--229, 1994.

D. A. Keim and H.-P. Kriegel. VisDB: A System for Visualizing Large Databases. System Demonstration Proc. ACM SIGMOD Int. Conf. on Managment of Data, San Jose, CA, pages 482, 1994.

D. A. Keim and H.-P. Kriegel. Visually Supporting Data Mining of Large Existing Databases. Lecture Notes in Computer Science, No. 871, Springer, pages 25--34, 1994.

D. A. Keim and H.-P. Kriegel. Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems. Proc. Int. Conf. on Cooperative Information Systems, Toronto, Canada, pages 203--214, 1994.

D. A. Keim, H.-P. Kriegel and T. Seidl. Visual Feedback in Querying Large Databases. Proc. Visualization '93, San Jose, CA, pages 158--165, 1993.

D. A. Keim and V. Lum. GRADI: A Graphical Database Interface for a Multimedia DBMS. Proc. Int. Workshop on Interfaces to Databases, Glasgow, England, 1992, in: Workshops in Computing, Springer, pages 95--112, 1993.

D. A. Keim, H.-P. Kriegel and A. Miethsam. Integration of Relational Databases in a Multidatabase System based on Schema Enrichment. Proc. 3rd Int. Workshop on Interoperability in Multidatabase Systems, Vienna, Austria, pages 96--104, 1993.

D. A. Keim, H.-P. Kriegel and A. Miethsam. Object-Oriented Querying of Existing Relational Databases. Proc. 4th Int. Conf. on Database and Expert Systems Applications (DEXA'93), Prague, Czech Republic, pages 325--336, 1993.

V. Lum, D. A. Keim and K.-C. Kim. Intelligent Natural Language Processing for Media Data Query. Proc. Int. Golden West Conf. on Intelligent Systems, Reno, NV, pages 257--262, 1992.

D. A. Keim and V. Lum. Visual Query Specification in a Multimedia Database System. Proc. Visualization '92, Boston, MA, pages 194--201, 1992.

D. A. Keim and E. S. Prawirohardjo. Datenbankmaschinen: Performanz durch Parallelität. B.I. Wissenschaftsverlag, 1992.

D. A. Keim, K.-C. Kim and V. Lum. A Friendly and Intelligent Approach to Data Retrieval in a Multimedia Database Management System. Proc. Int. Conf. on Database and Expert Systems (DEXA'91), Berlin, Germany, pages 102--111, 1991.