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Note: Links lead to the DBLP on the Web. Daniel A. Keim 53 Alexander Hinneburg , Daniel A. Keim, Markus Wawryniuk : HD-Eye: Visual Clustering of High Dimensional Data. SIGMOD Conference 2002 52 Daniel A. Keim: Datenvisualisierung und Data Mining. Datenbank-Spektrum 2 (1): 30-39 (2002) 51 Martin Heczko , Daniel A. Keim, Dietmar Saupe , Dejan V. Vranic : Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Datenbank-Spektrum 2 (1): 54-63 (2002) 50 Daniel A. Keim: Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphics 8 (1): 1-8 (2002) 49 Stephen G. Eick , Daniel A. Keim: Visual Data Mining - KDD Workshop Report. SIGKDD Explorations 3 (2): 70 (2002) 48 Martin Heczko , Daniel A. Keim, Dietmar Saupe , Dejan V. Vranic : Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. BTW 2001 : 384-401 47 Charu C. Aggarwal , Alexander Hinneburg , Daniel A. Keim: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001 : 420-434 46 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 45 Daniel A. Keim, Ming C. Hao , Julain Ladisch , Meichun Hsu , Umeshwar Dayal : Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation. INFOVIS 2001 : 113- 44 Christian Böhm , Stefan Berchtold , Daniel A. Keim: Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Computing Surveys 33 (3): 322-373 (2001) 43 Daniel A. Keim: Visual exploration of large data sets. CACM 44 (8): 38-44 (2001) 42 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 41 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 40 Stefan Berchtold , Christian Böhm , Daniel A. Keim, Hans-Peter Kriegel , Xiaowei Xu : Optimal Multidimensional Query Processing Using Tree Striping. DaWaK 2000 : 244-257 39 Stefan Berchtold , Daniel A. Keim: Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications. ICDE 2000 : 698-699 38 Alexander Hinneburg , Charu C. Aggarwal , Daniel A. Keim: What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000 : 506-515 37 Daniel A. Keim: Designing Pixel-Oriented Visualization Techniques: Theory and Applications. IEEE Transactions on Visualization and Computer Graphics 6 (1): 59-78 (2000) 36 Daniel A. Keim, Alexander Hinneburg : Interesting KDD-News from SIGMOD'99. SIGKDD Explorations 1 (2): 117 (2000) 35 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. TKDE 12 (1): 45- (2000) 34 Eleftherios Koutsofios , Stephen C. North , Russell Truscott , Daniel A. Keim: Visualizing Large-Scale Telecommunication Networks and Services. IEEE Visualization 1999 : 457-461 33 Daniel A. Keim, Alexander Hinneburg : Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999 : 141-181 32 Daniel A. Keim: Efficient Geometry-based Similarity Search of 3D Spatial Databases. SIGMOD Conference 1999 : 419-430 31 Alexander Hinneburg , Daniel A. Keim: Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999 : 509 30 Daniel A. Keim, Eleftherios Koutsofios , Stephen C. North : Visual Exploration of Large Telecommunication Data Sets. UIDIS 1999 : 12-20 29 Alexander Hinneburg , Daniel A. Keim: Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999 : 506-517 28 Daniel A. Keim: Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. GI Jahrestagung 1998 : 23-32 27 Stefan Berchtold , Daniel A. Keim: Section Coding: A Similarity Search Technique for the Car Manufacturing Industry. IADT 1998 : 256-263 26 Stefan Berchtold , Bernhard Ertl , Daniel A. Keim, Hans-Peter Kriegel , Thomas Seidl : Fast Nearest Neighbor Search in High-Dimensional Space. ICDE 1998 : 209-218 25 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 24 Alexander Hinneburg , Daniel A. Keim: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998 : 58-65 23 Stefan Berchtold , Daniel A. Keim: High-Dimensional Index Structures, Database Support for Next Decade's Applications (Tutorial). SIGMOD Conference 1998 : 501 22 Stefan Berchtold , Daniel A. Keim, Hans-Peter Kriegel : Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken. BTW 1997 : 152-171 21 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 20 Stefan Berchtold , Christian Böhm , Bernhard Braunmüller , Daniel A. Keim, Hans-Peter Kriegel : Fast Parallel Similarity Search in Multimedia Databases. SIGMOD Conference 1997 : 1-12 19 Stefan Berchtold , Daniel A. Keim, Hans-Peter Kriegel : Using Extended Feature Objects for Partial Similarity Retrieval. VLDB Journal 6 (4): 333-348 (1997) 18 Daniel A. Keim: Databases and Visualization. SIGMOD Conference 1996 : 543 17 Stefan Berchtold , Daniel A. Keim, Hans-Peter Kriegel : The X-tree : An Index Structure for High-Dimensional Data. VLDB 1996 : 28-39 16 Daniel A. Keim: Pixel-oriented Database Visualizations. SIGMOD Record 25 (4): 35-39 (1996) 15 Daniel A. Keim, Hans-Peter Kriegel : Visualization Techniques for Mining Large Databases: A Comparison. TKDE 8 (6): 923-938 (1996) 14 Daniel A. Keim, Hans-Peter Kriegel : Visualisierungstechniken zur Exploration und Analyse sehr großer Datenbanken. BTW 1995 : 262-281 13 Daniel A. Keim, Mihael Ankerst , Hans-Peter Kriegel : Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. IEEE Visualization 1995 : 279- 12 Daniel A. Keim, Hans-Peter Kriegel : VisDB: A System for Visualizing Large Databases. SIGMOD Conference 1995 : 482 11 Daniel A. Keim, Hans-Peter Kriegel : Possibilities and Limits in Visualizing Large Databases. VDB 1995 : 203-214 10 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 9 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 8 Daniel A. Keim, Hans-Peter Kriegel , Andreas Miethsam : Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems. CoopIS 1994 : 203-214 7 Daniel A. Keim, Hans-Peter Kriegel , Thomas Seidl : Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994 : 302-313 6 Daniel A. Keim, Hans-Peter Kriegel , Andreas Miethsam : Object-Oriented Querying of Existing Relations Databases. DEXA 1993 : 325-336 5 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 4 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 3 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 2 Daniel A. Keim, Vincent Y. Lum : GRADI: A Graphical Database Interface for a Multimedia DBMS. IDS 1992 : 95-112 1 Daniel A. Keim, Kyung-Chang Kim , Vincent Y. Lum : A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS. DEXA 1991 : 102-111 ![]() DiSC'02 © 2003 Association for Computing Machinery |