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Note: Links lead to the DBLP on the Web. Daniel A. Keim Oliver Deussen , Charles D. Hansen , Daniel A. Keim, Dietmar Saupe : VisSym 2004, Symposium on Visualization, Konstanz, Germany, May 19-21, 2004 Eurographics Association 2004 Benjamin Bustos , Daniel A. Keim, Dietmar Saupe , Tobias Schreck , Dejan V. Vranic : An Experimental Comparison of Feature-Based 3D Retrieval Methods. 3DPVT 2004 : 215-222 Daniel A. Keim, Jörn Schneidewind , Mike Sips : CircleView: a new approach for visualizing time-related multidimensional data sets. AVI 2004 : 179-182 Daniel A. Keim, Benjamin Bustos : Similarity Search in Multimedia Databases. ICDE 2004 : 873 Benjamin Bustos , Daniel A. Keim, Dietmar Saupe , Tobias Schreck , Dejan V. Vranic : Using entropy impurity for improved 3D object similarity search. ICME 2004 : 1303-1306 Ming C. Hao , Daniel A. Keim, Umeshwar Dayal : VisBiz: A Simplified Visualization of Business Operation. IEEE Visualization 2004 : 1 Benjamin Bustos , Daniel A. Keim, Christian Panse , Tobias Schreck : 2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. IEEE Visualization 2004 : 2 Daniel A. Keim, Christian Panse , Jörn Schneidewind , Mike Sips : Analyzing Large Collections of Email. IKE 2004 : 275-281 Daniel A. Keim, Helmut Barro , Christian Panse , Jörn Schneidewind , Mike Sips : Exploring and Visualizing the History of InfoVis. INFOVIS 2004 Ming C. Hao , Daniel A. Keim, Umeshwar Dayal , Jörn Schneidewind : Interactive Poster: Visual Mining of Business Process Data. INFOVIS 2004 Roland Heilmann , Daniel A. Keim, Christian Panse , Mike Sips : RecMap: Rectangular Map Approximations. INFOVIS 2004 : 33-40 Roland Heilmann , Daniel A. Keim, Christian Panse , Jörn Schneidewind , Mike Sips : Finding Spatial Patterns in Network Data. PaRMa 2004 Markus Wawryniuk , Daniel A. Keim: Identifying Most Predictive Items. PaRMa 2004 Panos Vassiliadis , Barbara Catania , Daniel A. Keim, Yannis Theodoridis , Céline Robardet : Pattern management challenges. PaRMa 2004 Amihood Amir , Reuven Kashi , Daniel A. Keim, Nathan S. Netanyahu , Markus Wawryniuk : Shape-Embedded-Histograms for Visual Data Mining. VisSym 2004 : 55-64, 341 Daniel A. Keim, Christian Panse , Jörn Schneidewind , Mike Sips : Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG 2004 : 213-220 Daniel A. Keim, Christian Panse , Mike Sips , Stephen C. North : Pixel based visual data mining of geo-spatial data. Computers & Graphics 28 (3): 327-344 (2004) Daniel A. Keim, Wolfgang Lehner : Data Mining und Data Warhousing. Datenbank-Spektrum 9 : 5 (2004) Daniel A. Keim, Christian Panse , Mike Sips , Stephen C. North : Visual Data Mining in Large Geospatial Point Sets. IEEE Computer Graphics and Applications 24 (5): 36-44 (2004) Daniel A. Keim, Stephen C. North , Christian Panse : CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. IEEE Trans. Vis. Comput. Graph. 10 (1): 95-110 (2004) Daniel A. Keim, Tamara Munzner , Stephen C. North : Guest Editor's Introduction: Special Section on InfoVis. IEEE Trans. Vis. Comput. Graph. 10 (4): 446 (2004) Daniel A. Keim, Nick Koudas : Introduction to special issue with best papers from KDD 2002. Inf. Syst. 29 (4): 271-272 (2004) Martin Heczko , Alexander Hinneburg , Daniel A. Keim, Markus Wawryniuk : Multiresolution similarity search in image databases. Multimedia Syst. 10 (1): 28-40 (2004) Daniel A. Keim, Thomas Ertl : Wissenschaftliche Visualisierung. it - Information Technology 46 (3): 109-110 (2004) Thomas Ertl , Daniel A. Keim: Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte. it - Information Technology 46 (3): 148-153 (2004) Daniel A. Keim, Christian Panse , Mike Sips : Visual Data Mining of Large Spatial Data Sets. DNIS 2003 : 201-215 Alexander Hinneburg , Daniel A. Keim: Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art 2003 : 407-422 Alexander Hinneburg , Daniel A. Keim, Markus Wawryniuk : HD-Eye - Visual Clustering of High dimensional Data. ICDE 2003 : 753-755 Amihood Amir , Reuven Kashi , Nathan S. Netanyahu , Daniel A. Keim, Markus Wawryniuk : Analyzing High-Dimensional Data by Subspace Validity. ICDM 2003 : 473-476 Daniel A. Keim, Christian Panse , Mike Sips , Stephen C. North : PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. ICDM 2003 : 565-568 Daniel A. Keim, Christian Panse , Jörn Schneidewind , Mike Sips , Ming C. Hao , Umeshwar Dayal : Pushing the Limit in Visual Data Exploration: Techniques and Applications. KI 2003 : 37-51 Martin L. Kersten , Gerhard Weikum , Michael J. Franklin , Daniel A. Keim, Alejandro P. Buchmann , Surajit Chaudhuri : A Database Striptease or How to Manage Your Personal Databases. VLDB 2003 : 1043-1044 David J. Hand , Daniel A. Keim, Raymond T. Ng : Guest Editorial. Data Min. Knowl. Discov. 7 (3): 239-240 (2003) David J. Hand , Daniel A. Keim, Raymond T. Ng : Guest Editorial. Data Min. Knowl. Discov. 7 (4): 347-348 (2003) Daniel A. Keim, Stephen C. North , Christian Panse , Jörn Schneidewind : Visualizing geographic information: VisualPoints vs. CartoDraw. Information Visualization 2 (1): 58-67 (2003) Alexander Hinneburg , Daniel A. Keim: A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5 (4): 387-415 (2003) Daniel A. Keim, Stephen C. North , Christian Panse , Jörn Schneidewind : Efficient Cartogram Generation: A Comparison. INFOVIS 2002 : 33-36 Daniel A. Keim, Martin Heczko , Alexander Hinneburg , Markus Wawryniuk : Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems 2002 : 76-85 Alexander Hinneburg , Daniel A. Keim, Markus Wawryniuk : HD-Eye: visual clustering of high dimensional data. SIGMOD Conference 2002 : 629 Daniel A. Keim: Datenvisualisierung und Data Mining. Datenbank-Spektrum 2 : 30-39 (2002) Martin Heczko , Daniel A. Keim, Dietmar Saupe , Dejan V. Vranic : Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Datenbank-Spektrum 2 : 54-63 (2002) Daniel A. Keim: Information Visualization and Visual Data Mining. IEEE Trans. Vis. Comput. Graph. 8 (1): 1-8 (2002) Daniel A. Keim, Ming C. Hao , Umeshwar Dayal : Hierarchical Pixel Bar Charts. IEEE Trans. Vis. Comput. Graph. 8 (3): 255-269 (2002) Daniel A. Keim, Ming C. Hao , Umeshwar Dayal , Meichun Hsu : Pixel bar charts: a visualization technique for very large multi-attribute data sets? Information Visualization 1 (1): 20-34 (2002) Stephen G. Eick , Daniel A. Keim: Visual Data Mining - KDD Workshop Report. SIGKDD Explorations 3 (2): 70 (2002) Martin Heczko , Daniel A. Keim, Dietmar Saupe , Dejan V. Vranic : Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. BTW 2001 : 384-401 Charu C. Aggarwal , Alexander Hinneburg , Daniel A. Keim: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001 : 420-434 Stefan Berchtold , Christian Böhm , Daniel A. Keim, Florian Krebs , Hans-Peter Kriegel : On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. ICDT 2001 : 435-449 Daniel A. Keim, Ming C. Hao , Julian Ladisch , Meichun Hsu , Umeshwar Dayal : Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation. INFOVIS 2001 : 113- Christian Böhm , Stefan Berchtold , Daniel A. Keim: Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Comput. Surv. 33 (3): 322-373 (2001) Daniel A. Keim: Visual exploration of large data sets. Commun. ACM 44 (8): 38-44 (2001) Alexander Hinneburg , Daniel A. Keim, Wolfgang Brandt : Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. BIBE 2000 : 43-49 Martin Heczko , Daniel A. Keim, Roger Weber : Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries 2000 Stefan Berchtold , Christian Böhm , Daniel A. Keim, Hans-Peter Kriegel , Xiaowei Xu : Optimal Multidimensional Query Processing Using Tree Striping. DaWaK 2000 : 244-257 Stefan Berchtold , Daniel A. Keim: Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications. ICDE 2000 : 698-699 Alexander Hinneburg , Charu C. Aggarwal , Daniel A. Keim: What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000 : 506-515 Stefan Berchtold , Daniel A. Keim, Hans-Peter Kriegel , Thomas Seidl : Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. 12 (1): 45- (2000) Daniel A. Keim: Designing Pixel-Oriented Visualization Techniques: Theory and Applications. IEEE Trans. Vis. Comput. Graph. 6 (1): 59-78 (2000) Daniel A. Keim, Alexander Hinneburg : Interesting KDD-News from SIGMOD'99. SIGKDD Explorations 1 (2): 117 (2000) Eleftherios Koutsofios , Stephen C. North , Russell Truscott , Daniel A. Keim: Visualizing Large-Scale Telecommunication Networks and Services. IEEE Visualization 1999 : 457-461 Daniel A. Keim, Alexander Hinneburg : Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999 : 141-181 Daniel A. Keim: Efficient Geometry-based Similarity Search of 3D Spatial Databases. SIGMOD Conference 1999 : 419-430 Alexander Hinneburg , Daniel A. Keim: Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999 : 509 Daniel A. Keim, Eleftherios Koutsofios , Stephen C. North : Visual Exploration of Large Telecommunication Data Sets. UIDIS 1999 : 12-20 Alexander Hinneburg , Daniel A. Keim: Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999 : 506-517 Daniel A. Keim: Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. GI Jahrestagung 1998 : 23-32 Alexander Hinneburg , Daniel A. Keim, Wolfgang Brandt : Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. German Conference on Bioinformatics 1998 Stefan Berchtold , Daniel A. Keim: Section Coding: A Similarity Search Technique for the Car Manufacturing Industry. IADT 1998 : 256-263 Stefan Berchtold , Bernhard Ertl , Daniel A. Keim, Hans-Peter Kriegel , Thomas Seidl : Fast Nearest Neighbor Search in High-Dimensional Space. ICDE 1998 : 209-218 Daniel A. Keim, Annemarie Herrmann : The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data. IEEE Visualization 1998 : 181-188 Mihael Ankerst , Stefan Berchtold , Daniel A. Keim: Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. INFOVIS 1998 : 52- Alexander Hinneburg , Daniel A. Keim: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998 : 58-65 Stefan Berchtold , Daniel A. Keim: High-Dimensional Index Structures, Database Support for Next Decade's Applications (Tutorial). SIGMOD Conference 1998 : 501 Stefan Berchtold , Daniel A. Keim, Hans-Peter Kriegel : Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken. BTW 1997 : 152-171 Stefan Berchtold , Christian Böhm , Daniel A. Keim, Hans-Peter Kriegel : A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. PODS 1997 : 78-86 Stefan Berchtold , Christian Böhm , Bernhard Braunmüller , Daniel A. Keim, Hans-Peter Kriegel : Fast Parallel Similarity Search in Multimedia Databases. SIGMOD Conference 1997 : 1-12 Stefan Berchtold , Daniel A. Keim, Hans-Peter Kriegel : Using Extended Feature Objects for Partial Similarity Retrieval. VLDB J. 6 (4): 333-348 (1997) Daniel A. Keim: Databases and Visualization. SIGMOD Conference 1996 : 543 Stefan Berchtold , Daniel A. Keim, Hans-Peter Kriegel : The X-tree : An Index Structure for High-Dimensional Data VLDB 1996 : 28-39 Daniel A. Keim, Hans-Peter Kriegel : Visualization Techniques for Mining Large Databases: A Comparison. IEEE Trans. Knowl. Data Eng. 8 (6): 923-938 (1996) Daniel A. Keim: Pixel-oriented Database Visualizations. SIGMOD Record 25 (4): 35-39 (1996) Daniel A. Keim, Hans-Peter Kriegel : Visualisierungstechniken zur Exploration und Analyse sehr großer Datenbanken. BTW 1995 : 262-281 Daniel A. Keim, Mihael Ankerst , Hans-Peter Kriegel : Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. IEEE Visualization 1995 : 279- Daniel A. Keim, Hans-Peter Kriegel : VisDB: A System for Visualizing Large Databases. SIGMOD Conference 1995 : 482 Daniel A. Keim, Hans-Peter Kriegel : Possibilities and Limits in Visualizing Large Databases. VDB 1995 : 203-214 Daniel A. Keim: Enhancing the Visual Clustering of Query-Dependent Database Visualization techniques Using Screen-Filling Curves. Workshop on Database Issues for Data Visualization 1995 : 101-110 Daniel A. Keim, John Peter Lee , Bhavani M. Thuraisingham , Craig M. Wittenbrink : Database Issues for Data Visualization: Supporting Interactive Database Explorartion. Workshop on Database Issues for Data Visualization 1995 : 12-25 Daniel A. Keim, Hans-Peter Kriegel , Andreas Miethsam : Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems. CoopIS 1994 : 203-214 Daniel A. Keim, Hans-Peter Kriegel , Thomas Seidl : Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994 : 302-313 Daniel A. Keim, Hans-Peter Kriegel , Andreas Miethsam : Object-Oriented Querying of Existing Relations Databases. DEXA 1993 : 325-336 Daniel A. Keim, Hans-Peter Kriegel , Thomas Seidl : Visual Feedback in Querying Large Databases. IEEE Visualization 1993 : 158-165 Daniel A. Keim, Hans-Peter Kriegel , Andreas Miethsam : Integration of Relational Databases in a Multidatabase System based on Schema Enrichment. RIDE-IMS 1993 : 96-104 Daniel A. Keim, Hans-Peter Kriegel : Using Visualization to Support Data Mining of Large Existing Databases. Workshop on Database Issues for Data Visualization 1993 : 210-229 John Boyle , Stephen G. Eick , Matthias Hemmje , Daniel A. Keim, John Peter Lee , Eric E. Sumner Jr. : Database Issues for Data Visualization: Interaction, User Interfaces, and Presentation. Workshop on Database Issues for Data Visualization 1993 : 25-34 Daniel A. Keim, Edy S. Prawirohardjo : Datenbankmaschinen: Performanz durch Parallelität Bibliographisches Institut 1992 Daniel A. Keim, Vincent Y. Lum : GRADI: A Graphical Database Interface for a Multimedia DBMS. IDS 1992 : 95-112 Daniel A. Keim, Vincent Y. Lum : Visual Query Specification in a Multimedia Database System. IEEE Visualization 1992 : 194-201 Daniel A. Keim, Kyung-Chang Kim , Vincent Y. Lum : A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS. 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