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Daniel A. Keim: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel
    The X-tree : An Index Structure for High-Dimensional Data [Citation Graph (50, 17)][DBLP]
    VLDB, 1996, pp:28-39 [Conf]
  2. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel
    A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. [Citation Graph (29, 15)][DBLP]
    PODS, 1997, pp:78-86 [Conf]
  3. Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel A. Keim, Hans-Peter Kriegel
    Fast Parallel Similarity Search in Multimedia Databases. [Citation Graph (18, 14)][DBLP]
    SIGMOD Conference, 1997, pp:1-12 [Conf]
  4. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
    Supporting Data Mining of Large Databases by Visual Feedback Queries. [Citation Graph (6, 8)][DBLP]
    ICDE, 1994, pp:302-313 [Conf]
  5. Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
    Fast Nearest Neighbor Search in High-Dimensional Space. [Citation Graph (5, 14)][DBLP]
    ICDE, 1998, pp:209-218 [Conf]
  6. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel
    Using Extended Feature Objects for Partial Similarity Retrieval. [Citation Graph (4, 20)][DBLP]
    VLDB J., 1997, v:6, n:4, pp:333-348 [Journal]
  7. Alexander Hinneburg, Daniel A. Keim
    An Efficient Approach to Clustering in Large Multimedia Databases with Noise. [Citation Graph (3, 0)][DBLP]
    KDD, 1998, pp:58-65 [Conf]
  8. Daniel A. Keim, Vincent Y. Lum
    GRADI: A Graphical Database Interface for a Multimedia DBMS. [Citation Graph (2, 0)][DBLP]
    IDS, 1992, pp:95-112 [Conf]
  9. Stefan Berchtold, Daniel A. Keim
    High-Dimensional Index Structures, Database Support for Next Decade's Applications (Tutorial). [Citation Graph (2, 0)][DBLP]
    SIGMOD Conference, 1998, pp:501- [Conf]
  10. Alexander Hinneburg, Daniel A. Keim
    Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. [Citation Graph (2, 16)][DBLP]
    VLDB, 1999, pp:506-517 [Conf]
  11. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel
    Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken. [Citation Graph (1, 0)][DBLP]
    BTW, 1997, pp:152-171 [Conf]
  12. Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam
    Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems. [Citation Graph (1, 0)][DBLP]
    CoopIS, 1994, pp:203-214 [Conf]
  13. Daniel A. Keim
    Enhancing the Visual Clustering of Query-Dependent Database Visualization techniques Using Screen-Filling Curves. [Citation Graph (1, 0)][DBLP]
    Workshop on Database Issues for Data Visualization, 1995, pp:101-110 [Conf]
  14. Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam
    Object-Oriented Querying of Existing Relations Databases. [Citation Graph (1, 0)][DBLP]
    DEXA, 1993, pp:325-336 [Conf]
  15. Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam
    Integration of Relational Databases in a Multidatabase System based on Schema Enrichment. [Citation Graph (1, 0)][DBLP]
    RIDE-IMS, 1993, pp:96-104 [Conf]
  16. Daniel A. Keim
    Databases and Visualization. [Citation Graph (1, 0)][DBLP]
    SIGMOD Conference, 1996, pp:543- [Conf]
  17. Daniel A. Keim, Hans-Peter Kriegel
    VisDB: A System for Visualizing Large Databases. [Citation Graph (1, 1)][DBLP]
    SIGMOD Conference, 1995, pp:482- [Conf]
  18. Daniel A. Keim, Hans-Peter Kriegel
    Possibilities and Limits in Visualizing Large Databases. [Citation Graph (1, 0)][DBLP]
    VDB, 1995, pp:203-214 [Conf]
  19. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim
    What Is the Nearest Neighbor in High Dimensional Spaces? [Citation Graph (1, 0)][DBLP]
    VLDB, 2000, pp:506-515 [Conf]
  20. Daniel A. Keim
    Pixel-oriented Database Visualizations. [Citation Graph (1, 0)][DBLP]
    SIGMOD Record, 1996, v:25, n:4, pp:35-39 [Journal]
  21. Daniel A. Keim, Hans-Peter Kriegel
    Visualization Techniques for Mining Large Databases: A Comparison. [Citation Graph (1, 17)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1996, v:8, n:6, pp:923-938 [Journal]
  22. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic
    An Experimental Comparison of Feature-Based 3D Retrieval Methods. [Citation Graph (0, 0)][DBLP]
    3DPVT, 2004, pp:215-222 [Conf]
  23. Daniel A. Keim, Jörn Schneidewind, Mike Sips
    CircleView: a new approach for visualizing time-related multidimensional data sets. [Citation Graph (0, 0)][DBLP]
    AVI, 2004, pp:179-182 [Conf]
  24. Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence
    Task-at-hand interface for change detection in stock market data. [Citation Graph (0, 0)][DBLP]
    AVI, 2006, pp:420-427 [Conf]
  25. Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt
    Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. [Citation Graph (0, 0)][DBLP]
    BIBE, 2000, pp:43-49 [Conf]
  26. Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus
    Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:183-192 [Conf]
  27. Daniel A. Keim, Hans-Peter Kriegel
    Visualisierungstechniken zur Exploration und Analyse sehr großer Datenbanken. [Citation Graph (0, 0)][DBLP]
    BTW, 1995, pp:262-281 [Conf]
  28. Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic
    Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. [Citation Graph (0, 0)][DBLP]
    BTW, 2001, pp:384-401 [Conf]
  29. Svetlana Mansmann, Florian Mansmann, Marc H. Scholl, Daniel A. Keim
    Hierarchy-driven Visual Exploration of Multidimensional Data Cubes. [Citation Graph (0, 0)][DBLP]
    BTW, 2007, pp:96-111 [Conf]
  30. Florian Mansmann, Tobias Schreck, Daniel A. Keim
    MailSOM - Exploration of Electronic Mail Archives Using Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    CEAS, 2005, pp:- [Conf]
  31. Alexander Hinneburg, Daniel A. Keim
    Visual interaction to solving complex optimization problems. [Citation Graph (0, 0)][DBLP]
    Data Visualization: The State of the Art, 2003, pp:407-422 [Conf]
  32. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel, Xiaowei Xu
    Optimal Multidimensional Query Processing Using Tree Striping. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2000, pp:244-257 [Conf]
  33. 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. [Citation Graph (0, 0)][DBLP]
    Workshop on Database Issues for Data Visualization, 1993, pp:25-34 [Conf]
  34. Daniel A. Keim, Hans-Peter Kriegel
    Using Visualization to Support Data Mining of Large Existing Databases. [Citation Graph (0, 0)][DBLP]
    Workshop on Database Issues for Data Visualization, 1993, pp:210-229 [Conf]
  35. Daniel A. Keim, John Peter Lee, Bhavani M. Thuraisingham, Craig M. Wittenbrink
    Database Issues for Data Visualization: Supporting Interactive Database Explorartion. [Citation Graph (0, 0)][DBLP]
    Workshop on Database Issues for Data Visualization, 1995, pp:12-25 [Conf]
  36. Martin Heczko, Daniel A. Keim, Roger Weber
    Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval. [Citation Graph (0, 0)][DBLP]
    DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries, 2000, pp:- [Conf]
  37. Daniel A. Keim, Kyung-Chang Kim, Vincent Y. Lum
    A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS. [Citation Graph (0, 0)][DBLP]
    DEXA, 1991, pp:102-111 [Conf]
  38. Daniel A. Keim, Christian Panse, Mike Sips
    Visual Data Mining of Large Spatial Data Sets. [Citation Graph (0, 0)][DBLP]
    DNIS, 2003, pp:201-215 [Conf]
  39. 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. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1998, pp:- [Conf]
  40. Daniel A. Keim
    Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 1998, pp:23-32 [Conf]
  41. Daniel A. Keim, Florian Mansmann, Tobias Schreck
    Analyzing Electronic Mail Using Temporal, Spatial, and Content-based Visualization Techniques. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung (1), 2005, pp:434-438 [Conf]
  42. Stefan Berchtold, Daniel A. Keim
    Section Coding: A Similarity Search Technique for the Car Manufacturing Industry. [Citation Graph (0, 0)][DBLP]
    IADT, 1998, pp:256-263 [Conf]
  43. Benjamin Bustos, Oliver Deussen, Stefan Hiller, Daniel A. Keim
    A Graphics Hardware Accelerated Algorithm for Nearest Neighbor Search. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (4), 2006, pp:196-199 [Conf]
  44. Stefan Berchtold, Daniel A. Keim
    Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications. [Citation Graph (0, 0)][DBLP]
    ICDE, 2000, pp:698-699 [Conf]
  45. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
    HD-Eye - Visual Clustering of High dimensional Data. [Citation Graph (0, 0)][DBLP]
    ICDE, 2003, pp:753-755 [Conf]
  46. Daniel A. Keim, Benjamin Bustos
    Similarity Search in Multimedia Databases. [Citation Graph (0, 0)][DBLP]
    ICDE, 2004, pp:873- [Conf]
  47. Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, Daniel A. Keim, Markus Wawryniuk
    Analyzing High-Dimensional Data by Subspace Validity. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:473-476 [Conf]
  48. Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
    PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:565-568 [Conf]
  49. Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim
    On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. [Citation Graph (0, 10)][DBLP]
    ICDT, 2001, pp:420-434 [Conf]
  50. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Florian Krebs, Hans-Peter Kriegel
    On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. [Citation Graph (0, 20)][DBLP]
    ICDT, 2001, pp:435-449 [Conf]
  51. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic
    Using entropy impurity for improved 3D object similarity search. [Citation Graph (0, 0)][DBLP]
    ICME, 2004, pp:1303-1306 [Conf]
  52. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
    Analyzing Large Collections of Email. [Citation Graph (0, 0)][DBLP]
    IKE, 2004, pp:275-281 [Conf]
  53. Mihael Ankerst, Stefan Berchtold, Daniel A. Keim
    Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 1998, pp:52-0 [Conf]
  54. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck
    Importance-Driven Visualization Layouts for Large Time Series Data. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2005, pp:27- [Conf]
  55. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
    Interactive Poster: Visual Mining of Business Process Data. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2004, pp:- [Conf]
  56. Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips
    RecMap: Rectangular Map Approximations. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2004, pp:33-40 [Conf]
  57. Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips
    Exploring and Visualizing the History of InfoVis. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2004, pp:- [Conf]
  58. 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. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2001, pp:113-0 [Conf]
  59. Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind
    Efficient Cartogram Generation: A Comparison. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2002, pp:33-36 [Conf]
  60. Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann
    Scalable Pixel-based Visual Interfaces: Challenges and Solutions. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:32-38 [Conf]
  61. Mikael Jern, Ebad Banissi, Gennady L. Andrienko, Wolfgang Müller, Daniel A. Keim
    European Research Forum Panel Session Envisioning Research Challenges in Visual Analytics. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:5-8 [Conf]
  62. Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler
    Challenges in Visual Data Analysis. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:9-16 [Conf]
  63. Daniel A. Keim, Alexander Hinneburg
    Clustering Techniques for Large Data Sets - from the Past to the Future. [Citation Graph (0, 0)][DBLP]
    KDD Tutorial Notes, 1999, pp:141-181 [Conf]
  64. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal
    Pushing the Limit in Visual Data Exploration: Techniques and Applications. [Citation Graph (0, 0)][DBLP]
    KI, 2003, pp:37-51 [Conf]
  65. Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus
    Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. [Citation Graph (0, 0)][DBLP]
    LWA, 2006, pp:322-329 [Conf]
  66. Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk
    Multi-Resolution Similarity Search in Image Databases. [Citation Graph (0, 0)][DBLP]
    Multimedia Information Systems, 2002, pp:76-85 [Conf]
  67. Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
    Finding Spatial Patterns in Network Data. [Citation Graph (0, 0)][DBLP]
    PaRMa, 2004, pp:- [Conf]
  68. Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet
    Pattern management challenges. [Citation Graph (0, 0)][DBLP]
    PaRMa, 2004, pp:- [Conf]
  69. Markus Wawryniuk, Daniel A. Keim
    Identifying Most Predictive Items. [Citation Graph (0, 0)][DBLP]
    PaRMa, 2004, pp:- [Conf]
  70. Benjamin Bustos, Daniel A. Keim, Tobias Schreck
    A pivot-based index structure for combination of feature vectors. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:1180-1184 [Conf]
  71. Alexander Hinneburg, Daniel A. Keim
    Clustering Methods for Large Databases: From the Past to the Future. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 1999, pp:509- [Conf]
  72. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
    HD-Eye: visual clustering of high dimensional data. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2002, pp:629- [Conf]
  73. Daniel A. Keim
    Efficient Geometry-based Similarity Search of 3D Spatial Databases. [Citation Graph (0, 9)][DBLP]
    SIGMOD Conference, 1999, pp:419-430 [Conf]
  74. Daniel A. Keim
    Visual Data Exploration (Tutorial). [Citation Graph (0, 0)][DBLP]
    SimVis, 1999, pp:397-400 [Conf]
  75. Gunter Saake, Kai-Uwe Sattler, Daniel A. Keim
    Datenbank- und Visualisierungstechnologien in der Informationsfusion. [Citation Graph (0, 0)][DBLP]
    SimVis, 2000, pp:1-14 [Conf]
  76. Daniel A. Keim, Eleftherios Koutsofios, Stephen C. North
    Visual Exploration of Large Telecommunication Data Sets. [Citation Graph (0, 0)][DBLP]
    UIDIS, 1999, pp:12-20 [Conf]
  77. Amihood Amir, Reuven Kashi, Daniel A. Keim, Nathan S. Netanyahu, Markus Wawryniuk
    Shape-Embedded-Histograms for Visual Data Mining. [Citation Graph (0, 0)][DBLP]
    VisSym, 2004, pp:55-64 [Conf]
  78. Benjamin Bustos, Daniel A. Keim, Christian Panse, Tobias Schreck
    2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 2004, pp:2- [Conf]
  79. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal
    VisBiz: A Simplified Visualization of Business Operation. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 2004, pp:1- [Conf]
  80. Daniel A. Keim, Mihael Ankerst, Hans-Peter Kriegel
    Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 1995, pp:279-0 [Conf]
  81. Daniel A. Keim, Annemarie Herrmann
    The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 1998, pp:181-188 [Conf]
  82. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
    Visual Feedback in Querying Large Databases. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 1993, pp:158-165 [Conf]
  83. Daniel A. Keim, Vincent Y. Lum
    Visual Query Specification in a Multimedia Database System. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 1992, pp:194-201 [Conf]
  84. Eleftherios Koutsofios, Stephen C. North, Russell Truscott, Daniel A. Keim
    Visualizing Large-Scale Telecommunication Networks and Services. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 1999, pp:457-461 [Conf]
  85. 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. [Citation Graph (0, 0)][DBLP]
    VLDB, 2003, pp:1043-1044 [Conf]
  86. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
    Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. [Citation Graph (0, 0)][DBLP]
    WSCG, 2004, pp:213-220 [Conf]
  87. Daniel A. Keim
    Visual exploration of large data sets. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 2001, v:44, n:8, pp:38-44 [Journal]
  88. Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
    Pixel based visual data mining of geo-spatial data. [Citation Graph (0, 0)][DBLP]
    Computers & Graphics, 2004, v:28, n:3, pp:327-344 [Journal]
  89. Daniel A. Keim, Christian Panse, Stephen C. North
    Medial-Axis-Based Cartograms. [Citation Graph (0, 0)][DBLP]
    IEEE Computer Graphics and Applications, 2005, v:25, n:3, pp:60-68 [Journal]
  90. Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
    Visual Data Mining in Large Geospatial Point Sets. [Citation Graph (0, 0)][DBLP]
    IEEE Computer Graphics and Applications, 2004, v:24, n:5, pp:36-44 [Journal]
  91. Christian Böhm, Stefan Berchtold, Daniel A. Keim
    Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2001, v:33, n:3, pp:322-373 [Journal]
  92. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic
    Feature-based similarity search in 3D object databases. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2005, v:37, n:4, pp:345-387 [Journal]
  93. David J. Hand, Daniel A. Keim, Raymond T. Ng
    Guest Editorial. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2003, v:7, n:3, pp:239-240 [Journal]
  94. David J. Hand, Daniel A. Keim, Raymond T. Ng
    Guest Editorial. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2003, v:7, n:4, pp:347-348 [Journal]
  95. Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic
    Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2002, v:2, n:, pp:54-63 [Journal]
  96. Daniel A. Keim
    Datenvisualisierung und Data Mining. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2002, v:2, n:, pp:30-39 [Journal]
  97. Daniel A. Keim, Wolfgang Lehner
    Data Mining und Data Warehousing. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2004, v:9, n:, pp:5- [Journal]
  98. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Andrada Tatu
    Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-Datenbanken. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2007, v:20, n:, pp:23-32 [Journal]
  99. Daniel A. Keim, Nick Koudas
    Introduction to special issue with best papers from KDD 2002. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 2004, v:29, n:4, pp:271-272 [Journal]
  100. Thomas Ertl, Daniel A. Keim
    Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte. [Citation Graph (0, 0)][DBLP]
    it - Information Technology, 2004, v:46, n:3, pp:148-153 [Journal]
  101. Daniel A. Keim, Thomas Ertl
    Wissenschaftliche Visualisierung. [Citation Graph (0, 0)][DBLP]
    it - Information Technology, 2004, v:46, n:3, pp:109-110 [Journal]
  102. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
    Business process impact visualization and anomaly detection. [Citation Graph (0, 0)][DBLP]
    Information Visualization, 2006, v:5, n:1, pp:15-27 [Journal]
  103. Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Meichun Hsu
    Pixel bar charts: a visualization technique for very large multi-attribute data sets? [Citation Graph (0, 0)][DBLP]
    Information Visualization, 2002, v:1, n:1, pp:20-34 [Journal]
  104. Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind
    Visualizing geographic information: VisualPoints vs. CartoDraw. [Citation Graph (0, 0)][DBLP]
    Information Visualization, 2003, v:2, n:1, pp:58-67 [Journal]
  105. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic
    An experimental effectiveness comparison of methods for 3D similarity search. [Citation Graph (0, 0)][DBLP]
    Int. J. on Digital Libraries, 2006, v:6, n:1, pp:39-54 [Journal]
  106. Daniel A. Keim, Jörn Schneidewind
    Scalable Visual Data Exploration of Large Data Sets via MultiResolution. [Citation Graph (0, 0)][DBLP]
    J. UCS, 2005, v:11, n:11, pp:1766-1779 [Journal]
  107. Alexander Hinneburg, Daniel A. Keim
    A General Approach to Clustering in Large Databases with Noise. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2003, v:5, n:4, pp:387-415 [Journal]
  108. Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
    Multiresolution similarity search in image databases. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2004, v:10, n:1, pp:28-40 [Journal]
  109. Daniel A. Keim, Alexander Hinneburg
    Interesting KDD-News from SIGMOD'99. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:1, n:2, pp:117- [Journal]
  110. Stephen G. Eick, Daniel A. Keim
    Visual Data Mining - KDD Workshop Report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:3, n:2, pp:70- [Journal]
  111. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2000, v:12, n:1, pp:45-0 [Journal]
  112. Daniel A. Keim
    Designing Pixel-Oriented Visualization Techniques: Theory and Applications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2000, v:6, n:1, pp:59-78 [Journal]
  113. Daniel A. Keim
    Information Visualization and Visual Data Mining. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2002, v:8, n:1, pp:1-8 [Journal]
  114. Daniel A. Keim, Ming C. Hao, Umeshwar Dayal
    Hierarchical Pixel Bar Charts. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2002, v:8, n:3, pp:255-269 [Journal]
  115. Daniel A. Keim, Tamara Munzner, Stephen C. North
    Guest Editor's Introduction: Special Section on InfoVis. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2004, v:10, n:4, pp:446- [Journal]
  116. Daniel A. Keim, Stephen C. North, Christian Panse
    CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2004, v:10, n:1, pp:95-110 [Journal]
  117. Daniel A. Keim, George G. Robertson, Jim J. Thomas, Jarke J. van Wijk
    Guest Editorial: Special Section on Visual Analytics. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2006, v:12, n:6, pp:1361-1362 [Journal]
  118. Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North
    Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2006, v:12, n:5, pp:749-756 [Journal]
  119. Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Martha Lyons
    Value-Cell Bar Charts for Visualizing Large Transaction Data Sets. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2007, v:13, n:4, pp:822-833 [Journal]
  120. Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
    Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps. [Citation Graph (0, 0)][DBLP]
    IV, 2007, pp:308-315 [Conf]
  121. Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
    Relevance Driven Visualization of Financial Performance Measures. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2007, pp:19-26 [Conf]
  122. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck
    Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2007, pp:27-34 [Conf]
  123. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
    VisBiz: A Business Process Visualization Case Study. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2005, pp:109-116 [Conf]
  124. Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips
    Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2005, pp:247-254 [Conf]
  125. Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler
    A Spectral Visualization System for Analyzing Financial Time Series Data. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2006, pp:195-202 [Conf]
  126. Daniel A. Keim, Jörn Schneidewind, Mike Sips
    Scalable Pixel Based Visual Data Exploration. [Citation Graph (0, 0)][DBLP]
    VIEW, 2006, pp:12-24 [Conf]
  127. Jörn Kohlhammer, Daniel A. Keim, David S. Ebert
    Introduction. [Citation Graph (0, 0)][DBLP]
    Computers & Graphics, 2007, v:31, n:3, pp:314-315 [Journal]
  128. Florian Mansmann, Daniel A. Keim, Stephen C. North, Brian Rexroad, Daniel Sheleheda
    Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Vis. Comput. Graph., 2007, v:13, n:6, pp:1105-1112 [Journal]

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  130. Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. [Citation Graph (, )][DBLP]


  131. Advanced visual analytics interfaces. [Citation Graph (, )][DBLP]


  132. 07291 Summary - Scientific Visualization. [Citation Graph (, )][DBLP]


  133. From Visualization to Visually Enabled Reasoning. [Citation Graph (, )][DBLP]


  134. DelosDLMS - The Integrated DELOS Digital Library Management System. [Citation Graph (, )][DBLP]


  135. Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks. [Citation Graph (, )][DBLP]


  136. Visual Analytics: Combining Automated Discovery with Interactive Visualizations. [Citation Graph (, )][DBLP]


  137. Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes. [Citation Graph (, )][DBLP]


  138. Analysis of community-contributed space-and time-referenced data (example of Panoramio photos). [Citation Graph (, )][DBLP]


  139. Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering. [Citation Graph (, )][DBLP]


  140. Personalized News Video Recommendation Via Interactive Exploration. [Citation Graph (, )][DBLP]


  141. Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments. [Citation Graph (, )][DBLP]


  142. Event-Based Analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections. [Citation Graph (, )][DBLP]


  143. A novel approach to enable semantic and visual image summarization for exploratory image search. [Citation Graph (, )][DBLP]


  144. Personalized news video recommendation. [Citation Graph (, )][DBLP]


  145. Personalized News Video Recommendation. [Citation Graph (, )][DBLP]


  146. Analyzing Document Collections via Context-Aware Term Extraction. [Citation Graph (, )][DBLP]


  147. Towards automatic feature vector optimization for multimedia applications. [Citation Graph (, )][DBLP]


  148. Enhancing document structure analysis using visual analytics. [Citation Graph (, )][DBLP]


  149. Visualization of Host Behavior for Network Security. [Citation Graph (, )][DBLP]


  150. Large-Scale Network Monitoring for Visual Analysis of Attacks. [Citation Graph (, )][DBLP]


  151. Visualizing large-scale IP traffic flows. [Citation Graph (, )][DBLP]


  152. Analysis of Community-contributed Space- and Timereferenced Data by Example of Panoramio Photos. [Citation Graph (, )][DBLP]


  153. Visual support for analyzing network traffic and intrusion detection events using TreeMap and graph representations. [Citation Graph (, )][DBLP]


  154. P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. [Citation Graph (, )][DBLP]


  155. Visual analytics of anomaly detection in large data streams. [Citation Graph (, )][DBLP]


  156. Visual analytics of large multidimensional data using variable binned scatter plots. [Citation Graph (, )][DBLP]


  157. Content-Based 3D Object Retrieval. [Citation Graph (, )][DBLP]


  158. Visualizing Large Telecommunication Data Sets. [Citation Graph (, )][DBLP]


  159. HD-Eye: Visual Mining of High-Dimensional Data. [Citation Graph (, )][DBLP]


  160. Density Displays for Data Stream Monitoring. [Citation Graph (, )][DBLP]


  161. COPERNICUS: Context-Preserving Engine for Route Navigation with Interactive User-modifiable Scaling. [Citation Graph (, )][DBLP]


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