| 2009 |
|---|
| 154 | EE | Hangzai Luo,
Jianping Fan,
Daniel A. Keim,
Shin'ichi Satoh:
Personalized News Video Recommendation.
MMM 2009: 459-471 |
| 2008 |
|---|
| 153 | | David S. Ebert,
Hans Hagen,
Kenneth I. Joy,
Daniel A. Keim:
Scientific Visualization, 15.07. - 20.07.2007
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008 |
| 152 | EE | Hangzai Luo,
Jianping Fan,
Daniel A. Keim:
Personalized news video recommendation.
ACM Multimedia 2008: 1001-1002 |
| 151 | EE | Daniel A. Keim,
Florian Mansmann,
Daniela Oelke,
Hartmut Ziegler:
Visual Analytics: Combining Automated Discovery with Interactive Visualizations.
ALT 2008: 2 |
| 150 | EE | Daniel A. Keim,
Florian Mansmann,
Daniela Oelke,
Hartmut Ziegler:
Visual Analytics: Combining Automated Discovery with Interactive Visualizations.
Discovery Science 2008: 2-14 |
| 149 | EE | Jianping Fan,
Hangzai Luo,
Aoying Zhou,
Daniel A. Keim:
Personalized News Video Recommendation Via Interactive Exploration.
ISVC (2) 2008: 380-389 |
| 148 | EE | Hartmut Ziegler,
Tilo Nietzschmann,
Daniel A. Keim:
Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments.
IV 2008: 287-295 |
| 147 | EE | Jianping Fan,
Yuli Gao,
Hangzai Luo,
Daniel A. Keim,
Zongmin Li:
A novel approach to enable semantic and visual image summarization for exploratory image search.
Multimedia Information Retrieval 2008: 358-365 |
| 146 | EE | Tobias Schreck,
Dieter W. Fellner,
Daniel A. Keim:
Towards automatic feature vector optimization for multimedia applications.
SAC 2008: 1197-1201 |
| 145 | EE | Fabian Fischer,
Florian Mansmann,
Daniel A. Keim,
Stephan Pietzko,
Marcel Waldvogel:
Large-Scale Network Monitoring for Visual Analysis of Attacks.
VizSEC 2008: 111-118 |
| 144 | EE | Daniel A. Keim,
Benjamin Bustos,
Stefan Berchtold,
Hans-Peter Kriegel:
Indexing, X-Tree.
Encyclopedia of GIS 2008: 543-547 |
| 143 | EE | Daniel A. Keim,
Florian Mansmann,
Jörn Schneidewind,
Jim Thomas,
Hartmut Ziegler:
Visual Analytics: Scope and Challenges.
Visual Data Mining 2008: 76-90 |
| 142 | EE | Ming C. Hao,
Daniel A. Keim,
Umeshwar Dayal,
Daniela Oelke,
Chantal Tremblay:
Density Displays for Data Stream Monitoring.
Comput. Graph. Forum 27(3): 895-902 (2008) |
| 141 | EE | Hartmut Ziegler,
Daniel A. Keim:
COPERNICUS: Context-Preserving Engine for Route Navigation with Interactive User-modifiable Scaling.
Comput. Graph. Forum 27(3): 927-934 (2008) |
| 2007 |
|---|
| 140 | EE | Svetlana Mansmann,
Florian Mansmann,
Marc H. Scholl,
Daniel A. Keim:
Hierarchy-driven Visual Exploration of Multidimensional Data Cubes.
BTW 2007: 96-111 |
| 139 | EE | Maristella Agosti,
Stefano Berretti,
Gert Brettlecker,
Alberto Del Bimbo,
Nicola Ferro,
Norbert Fuhr,
Daniel A. Keim,
Claus-Peter Klas,
Thomas Lidy,
Diego Milano,
Moira C. Norrie,
Paola Ranaldi,
Andreas Rauber,
Hans-Jörg Schek,
Tobias Schreck,
Heiko Schuldt,
Beat Signer,
Michael Springmann:
DelosDLMS - The Integrated DELOS Digital Library Management System.
DELOS Conference 2007: 36-45 |
| 138 | EE | Hartmut Ziegler,
Tilo Nietzschmann,
Daniel A. Keim:
Relevance Driven Visualization of Financial Performance Measures.
EuroVis 2007: 19-26 |
| 137 | EE | Ming C. Hao,
Umeshwar Dayal,
Daniel A. Keim,
Tobias Schreck:
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data.
EuroVis 2007: 27-34 |
| 136 | EE | Hartmut Ziegler,
Tilo Nietzschmann,
Daniel A. Keim:
Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps.
IV 2007: 308-315 |
| 135 | EE | David S. Ebert,
Hans Hagen,
Kenneth I. Joy,
Daniel A. Keim:
07291 Summary - Scientific Visualization.
Scientific Visualization 2007 |
| 134 | | Florian Mansmann,
Fabian Fischer,
Daniel A. Keim,
Stephen C. North:
Visualizing large-scale IP traffic flows.
VMV 2007: 23-30 |
| 133 | EE | F. Mansman,
L. Meier,
Daniel A. Keim:
Visualization of Host Behavior for Network Security.
VizSEC 2007: 187-202 |
| 132 | EE | Jörn Kohlhammer,
Daniel A. Keim,
David S. Ebert:
Introduction.
Computers & Graphics 31(3): 314-315 (2007) |
| 131 | EE | Benjamin Bustos,
Daniel A. Keim,
Dietmar Saupe,
Tobias Schreck,
Andrada Tatu:
Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-Datenbanken.
Datenbank-Spektrum 20: 23-32 (2007) |
| 130 | EE | Benjamin Bustos,
Daniel A. Keim,
Dietmar Saupe,
Tobias Schreck:
Content-Based 3D Object Retrieval.
IEEE Computer Graphics and Applications 27(4): 22-27 (2007) |
| 129 | EE | Daniel A. Keim,
Ming C. Hao,
Umeshwar Dayal,
Martha Lyons:
Value-Cell Bar Charts for Visualizing Large Transaction Data Sets.
IEEE Trans. Vis. Comput. Graph. 13(4): 822-833 (2007) |
| 128 | EE | 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.
IEEE Trans. Vis. Comput. Graph. 13(6): 1105-1112 (2007) |
| 127 | EE | Jörn Schneidewind,
Mike Sips,
Daniel A. Keim:
An automated approach for the optimization of pixel-based visualizations.
Information Visualization 6(1): 75-88 (2007) |
| 126 | EE | Gennady L. Andrienko,
Natalia V. Andrienko,
Piotr Jankowski,
Daniel A. Keim,
Menno-Jan Kraak,
Alan M. MacEachren,
Stefan Wrobel:
Geovisual analytics for spatial decision support: Setting the research agenda.
International Journal of Geographical Information Science 21(8): 839-857 (2007) |
| 125 | EE | Mike Sips,
Jörn Schneidewind,
Daniel A. Keim:
Highlighting space-time patterns: Effective visual encodings for interactive decision-making.
International Journal of Geographical Information Science 21(8): 879-893 (2007) |
| 124 | EE | Daniel A. Keim,
Jörn Schneidewind:
Introduction.
SIGKDD Explorations 9(2): 3-4 (2007) |
| 2006 |
|---|
| 123 | EE | Carmen Sanz Merino,
Mike Sips,
Daniel A. Keim,
Christian Panse,
Robert Spence:
Task-at-hand interface for change detection in stock market data.
AVI 2006: 420-427 |
| 122 | | Daniel A. Keim,
Daniela Oelke,
Royal Truman,
Klaus Neuhaus:
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration.
BIBE 2006: 183-192 |
| 121 | EE | Daniel A. Keim,
Tilo Nietzschmann,
Norman Schelwies,
Jörn Schneidewind,
Tobias Schreck,
Hartmut Ziegler:
A Spectral Visualization System for Analyzing Financial Time Series Data.
EuroVis 2006: 195-202 |
| 120 | EE | Tobias Schreck,
Daniel A. Keim,
Christian Panse:
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering.
ICME 2006: 925-928 |
| 119 | EE | Mike Sips,
Jörn Schneidewind,
Daniel A. Keim,
Heidrun Schumann:
Scalable Pixel-based Visual Interfaces: Challenges and Solutions.
IV 2006: 32-38 |
| 118 | EE | Mikael Jern,
Ebad Banissi,
Gennady L. Andrienko,
Wolfgang Müller,
Daniel A. Keim:
European Research Forum Panel Session Envisioning Research Challenges in Visual Analytics.
IV 2006: 5-8 |
| 117 | EE | Daniel A. Keim,
Florian Mansmann,
Jörn Schneidewind,
Hartmut Ziegler:
Challenges in Visual Data Analysis.
IV 2006: 9-16 |
| 116 | EE | Benjamin Bustos,
Oliver Deussen,
Stefan Hiller,
Daniel A. Keim:
A Graphics Hardware Accelerated Algorithm for Nearest Neighbor Search.
International Conference on Computational Science (4) 2006: 196-199 |
| 115 | EE | Daniel A. Keim,
Daniela Oelke,
Royal Truman,
Klaus Neuhaus:
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration.
LWA 2006: 322-329 |
| 114 | EE | Daniel A. Keim,
Jörn Schneidewind,
Mike Sips:
Scalable Pixel Based Visual Data Exploration.
VIEW 2006: 12-24 |
| 113 | EE | Christian Panse,
Mike Sips,
Daniel A. Keim,
Stephen C. North:
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement.
IEEE Trans. Vis. Comput. Graph. 12(5): 749-756 (2006) |
| 112 | EE | Daniel A. Keim,
George G. Robertson,
James J. Thomas,
Jarke J. van Wijk:
Guest Editorial: Special Section on Visual Analytics.
IEEE Trans. Vis. Comput. Graph. 12(6): 1361-1362 (2006) |
| 111 | EE | Ming C. Hao,
Daniel A. Keim,
Umeshwar Dayal,
Jörn Schneidewind:
Business process impact visualization and anomaly detection.
Information Visualization 5(1): 15-27 (2006) |
| 110 | EE | Benjamin Bustos,
Daniel A. Keim,
Dietmar Saupe,
Tobias Schreck,
Dejan V. Vranic:
An experimental effectiveness comparison of methods for 3D similarity search.
Int. J. on Digital Libraries 6(1): 39-54 (2006) |
| 2005 |
|---|
| 109 | EE | Florian Mansmann,
Tobias Schreck,
Daniel A. Keim:
MailSOM - Exploration of Electronic Mail Archives Using Self-Organizing Maps.
CEAS 2005 |
| 108 | EE | Ming C. Hao,
Daniel A. Keim,
Umeshwar Dayal,
Jörn Schneidewind:
VisBiz: A Business Process Visualization Case Study.
EuroVis 2005: 109-116 |
| 107 | EE | Daniel A. Keim,
Florian Mansmann,
Christian Panse,
Jörn Schneidewind,
Mike Sips:
Mail Explorer - Spatial and Temporal Exploration of Electronic Mail.
EuroVis 2005: 247-254 |
| 106 | | Daniel A. Keim,
Florian Mansmann,
Tobias Schreck:
Analyzing Electronic Mail Using Temporal, Spatial, and Content-based Visualization Techniques.
GI Jahrestagung (1) 2005: 434-438 |
| 105 | EE | Ming C. Hao,
Umeshwar Dayal,
Daniel A. Keim,
Tobias Schreck:
Importance-Driven Visualization Layouts for Large Time Series Data.
INFOVIS 2005: 27 |
| 104 | EE | Benjamin Bustos,
Daniel A. Keim,
Tobias Schreck:
A pivot-based index structure for combination of feature vectors.
SAC 2005: 1180-1184 |
| 103 | EE | Benjamin Bustos,
Daniel A. Keim,
Dietmar Saupe,
Tobias Schreck,
Dejan V. Vranic:
Feature-based similarity search in 3D object databases.
ACM Comput. Surv. 37(4): 345-387 (2005) |
| 102 | EE | Daniel A. Keim,
Christian Panse,
Stephen C. North:
Medial-Axis-Based Cartograms.
IEEE Computer Graphics and Applications 25(3): 60-68 (2005) |
| 101 | EE | Daniel A. Keim,
Jörn Schneidewind:
Scalable Visual Data Exploration of Large Data Sets via MultiResolution.
J. UCS 11(11): 1766-1779 (2005) |
| 2004 |
|---|
| 100 | | Oliver Deussen,
Charles D. Hansen,
Daniel A. Keim,
Dietmar Saupe:
VisSym 2004, Symposium on Visualization, Konstanz, Germany, May 19-21, 2004
Eurographics Association 2004 |
| 99 | EE | 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 |
| 98 | EE | Daniel A. Keim,
Jörn Schneidewind,
Mike Sips:
CircleView: a new approach for visualizing time-related multidimensional data sets.
AVI 2004: 179-182 |
| 97 | EE | Daniel A. Keim,
Benjamin Bustos:
Similarity Search in Multimedia Databases.
ICDE 2004: 873 |
| 96 | | 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 |
| 95 | EE | Ming C. Hao,
Daniel A. Keim,
Umeshwar Dayal:
VisBiz: A Simplified Visualization of Business Operation.
IEEE Visualization 2004: 1 |
| 94 | EE | 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 |
| 93 | | Daniel A. Keim,
Christian Panse,
Jörn Schneidewind,
Mike Sips:
Analyzing Large Collections of Email.
IKE 2004: 275-281 |
| 92 | EE | Daniel A. Keim,
Helmut Barro,
Christian Panse,
Jörn Schneidewind,
Mike Sips:
Exploring and Visualizing the History of InfoVis.
INFOVIS 2004 |
| 91 | EE | Ming C. Hao,
Daniel A. Keim,
Umeshwar Dayal,
Jörn Schneidewind:
Interactive Poster: Visual Mining of Business Process Data.
INFOVIS 2004 |
| 90 | EE | Roland Heilmann,
Daniel A. Keim,
Christian Panse,
Mike Sips:
RecMap: Rectangular Map Approximations.
INFOVIS 2004: 33-40 |
| 89 | EE | Roland Heilmann,
Daniel A. Keim,
Christian Panse,
Jörn Schneidewind,
Mike Sips:
Finding Spatial Patterns in Network Data.
PaRMa 2004 |
| 88 | EE | Markus Wawryniuk,
Daniel A. Keim:
Identifying Most Predictive Items.
PaRMa 2004 |
| 87 | EE | Panos Vassiliadis,
Barbara Catania,
Daniel A. Keim,
Yannis Theodoridis,
Céline Robardet:
Pattern management challenges.
PaRMa 2004 |
| 86 | | Amihood Amir,
Reuven Kashi,
Daniel A. Keim,
Nathan S. Netanyahu,
Markus Wawryniuk:
Shape-Embedded-Histograms for Visual Data Mining.
VisSym 2004: 55-64, 341 |
| 85 | | 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 |
| 84 | EE | 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) |
| 83 | | Daniel A. Keim,
Wolfgang Lehner:
Data Mining und Data Warehousing.
Datenbank-Spektrum 9: 5 (2004) |
| 82 | EE | 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) |
| 81 | EE | 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) |
| 80 | EE | 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) |
| 79 | EE | Daniel A. Keim,
Nick Koudas:
Introduction to special issue with best papers from KDD 2002.
Inf. Syst. 29(4): 271-272 (2004) |
| 78 | EE | Martin Heczko,
Alexander Hinneburg,
Daniel A. Keim,
Markus Wawryniuk:
Multiresolution similarity search in image databases.
Multimedia Syst. 10(1): 28-40 (2004) |
| 77 | EE | Daniel A. Keim,
Thomas Ertl:
Wissenschaftliche Visualisierung.
it - Information Technology 46(3): 109-110 (2004) |
| 76 | EE | Thomas Ertl,
Daniel A. Keim:
Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte.
it - Information Technology 46(3): 148-153 (2004) |
| 2003 |
|---|
| 75 | EE | Daniel A. Keim,
Christian Panse,
Mike Sips:
Visual Data Mining of Large Spatial Data Sets.
DNIS 2003: 201-215 |
| 74 | | Alexander Hinneburg,
Daniel A. Keim:
Visual interaction to solving complex optimization problems.
Data Visualization: The State of the Art 2003: 407-422 |
| 73 | EE | Alexander Hinneburg,
Daniel A. Keim,
Markus Wawryniuk:
HD-Eye - Visual Clustering of High dimensional Data.
ICDE 2003: 753-755 |
| 72 | EE | Amihood Amir,
Reuven Kashi,
Nathan S. Netanyahu,
Daniel A. Keim,
Markus Wawryniuk:
Analyzing High-Dimensional Data by Subspace Validity.
ICDM 2003: 473-476 |
| 71 | EE | 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 |
| 70 | EE | 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 |
| 69 | EE | 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 |
| 68 | EE | David J. Hand,
Daniel A. Keim,
Raymond T. Ng:
Guest Editorial.
Data Min. Knowl. Discov. 7(3): 239-240 (2003) |
| 67 | EE | David J. Hand,
Daniel A. Keim,
Raymond T. Ng:
Guest Editorial.
Data Min. Knowl. Discov. 7(4): 347-348 (2003) |
| 66 | EE | Daniel A. Keim,
Stephen C. North,
Christian Panse,
Jörn Schneidewind:
Visualizing geographic information: VisualPoints vs. CartoDraw.
Information Visualization 2(1): 58-67 (2003) |
| 65 | EE | Alexander Hinneburg,
Daniel A. Keim:
A General Approach to Clustering in Large Databases with Noise.
Knowl. Inf. Syst. 5(4): 387-415 (2003) |
| 2002 |
|---|
| 64 | EE | Daniel A. Keim,
Stephen C. North,
Christian Panse,
Jörn Schneidewind:
Efficient Cartogram Generation: A Comparison.
INFOVIS 2002: 33-36 |
| 63 | | Daniel A. Keim,
Martin Heczko,
Alexander Hinneburg,
Markus Wawryniuk:
Multi-Resolution Similarity Search in Image Databases.
Multimedia Information Systems 2002: 76-85 |
| 62 | EE | Alexander Hinneburg,
Daniel A. Keim,
Markus Wawryniuk:
HD-Eye: visual clustering of high dimensional data.
SIGMOD Conference 2002: 629 |
| 61 | | Daniel A. Keim:
Datenvisualisierung und Data Mining.
Datenbank-Spektrum 2: 30-39 (2002) |
| 60 | | Martin Heczko,
Daniel A. Keim,
Dietmar Saupe,
Dejan V. Vranic:
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten.
Datenbank-Spektrum 2: 54-63 (2002) |
| 59 | EE | Daniel A. Keim:
Information Visualization and Visual Data Mining.
IEEE Trans. Vis. Comput. Graph. 8(1): 1-8 (2002) |
| 58 | EE | Daniel A. Keim,
Ming C. Hao,
Umeshwar Dayal:
Hierarchical Pixel Bar Charts.
IEEE Trans. Vis. Comput. Graph. 8(3): 255-269 (2002) |
| 57 | EE | 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) |
| 56 | EE | Stephen G. Eick,
Daniel A. Keim:
Visual Data Mining - KDD Workshop Report.
SIGKDD Explorations 3(2): 70 (2002) |
| 2001 |
|---|
| 55 | | Martin Heczko,
Daniel A. Keim,
Dietmar Saupe,
Dejan V. Vranic:
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten.
BTW 2001: 384-401 |
| 54 | EE | Charu C. Aggarwal,
Alexander Hinneburg,
Daniel A. Keim:
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces.
ICDT 2001: 420-434 |
| 53 | EE | 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 |
| 52 | EE | 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- |
| 51 | EE | 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) |
| 50 | EE | Daniel A. Keim:
Visual exploration of large data sets.
Commun. ACM 44(8): 38-44 (2001) |
| 2000 |
|---|
| 49 | | 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 |
| 48 | EE | 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 |
| 47 | EE | Stefan Berchtold,
Christian Böhm,
Daniel A. Keim,
Hans-Peter Kriegel,
Xiaowei Xu:
Optimal Multidimensional Query Processing Using Tree Striping.
DaWaK 2000: 244-257 |
| 46 | EE | Stefan Berchtold,
Daniel A. Keim:
Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications.
ICDE 2000: 698-699 |
| 45 | | Gunter Saake,
Kai-Uwe Sattler,
Daniel A. Keim:
Datenbank- und Visualisierungstechnologien in der Informationsfusion.
SimVis 2000: 1-14 |
| 44 | EE | Alexander Hinneburg,
Charu C. Aggarwal,
Daniel A. Keim:
What Is the Nearest Neighbor in High Dimensional Spaces?
VLDB 2000: 506-515 |
| 43 | EE | 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) |
| 42 | EE | Daniel A. Keim:
Designing Pixel-Oriented Visualization Techniques: Theory and Applications.
IEEE Trans. Vis. Comput. Graph. 6(1): 59-78 (2000) |
| 41 | EE | Daniel A. Keim,
Alexander Hinneburg:
Interesting KDD-News from SIGMOD'99.
SIGKDD Explorations 1(2): 117 (2000) |
| 1999 |
|---|
| 40 | | Eleftherios Koutsofios,
Stephen C. North,
Russell Truscott,
Daniel A. Keim:
Visualizing Large-Scale Telecommunication Networks and Services.
IEEE Visualization 1999: 457-461 |
| 39 | EE | Daniel A. Keim,
Alexander Hinneburg:
Clustering Techniques for Large Data Sets - from the Past to the Future.
KDD Tutorial Notes 1999: 141-181 |
| 38 | EE | Daniel A. Keim:
Efficient Geometry-based Similarity Search of 3D Spatial Databases.
SIGMOD Conference 1999: 419-430 |
| 37 | EE | Alexander Hinneburg,
Daniel A. Keim:
Clustering Methods for Large Databases: From the Past to the Future.
SIGMOD Conference 1999: 509 |
| 36 | | Daniel A. Keim:
Visual Data Exploration (Tutorial).
SimVis 1999: 397-400 |
| 35 | EE | Daniel A. Keim,
Eleftherios Koutsofios,
Stephen C. North:
Visual Exploration of Large Telecommunication Data Sets.
UIDIS 1999: 12-20 |
| 34 | EE | Alexander Hinneburg,
Daniel A. Keim:
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering.
VLDB 1999: 506-517 |
| 1998 |
|---|
| 33 | | Daniel A. Keim:
Verwendung von Bildern zur Exploration und Analyse großer Datenmengen.
GI Jahrestagung 1998: 23-32 |
| 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 |
| 31 | | Stefan Berchtold,
Daniel A. Keim:
Section Coding: A Similarity Search Technique for the Car Manufacturing Industry.
IADT 1998: 256-263 |
| 30 | EE | Stefan Berchtold,
Bernhard Ertl,
Daniel A. Keim,
Hans-Peter Kriegel,
Thomas Seidl:
Fast Nearest Neighbor Search in High-Dimensional Space.
ICDE 1998: 209-218 |
| 29 | EE | 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 |
| 28 | EE | Mihael Ankerst,
Stefan Berchtold,
Daniel A. Keim:
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data.
INFOVIS 1998: 52- |
| 27 | | Alexander Hinneburg,
Daniel A. Keim:
An Efficient Approach to Clustering in Large Multimedia Databases with Noise.
KDD 1998: 58-65 |
| 26 | EE | Stefan Berchtold,
Daniel A. Keim:
High-Dimensional Index Structures, Database Support for Next Decade's Applications (Tutorial).
SIGMOD Conference 1998: 501 |
| 1997 |
|---|
| 25 | | Stefan Berchtold,
Daniel A. Keim,
Hans-Peter Kriegel:
Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken.
BTW 1997: 152-171 |
| 24 | EE | 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 |
| 23 | EE | Stefan Berchtold,
Christian Böhm,
Bernhard Braunmüller,
Daniel A. Keim,
Hans-Peter Kriegel:
Fast Parallel Similarity Search in Multimedia Databases.
SIGMOD Conference 1997: 1-12 |
| 22 | EE | Stefan Berchtold,
Daniel A. Keim,
Hans-Peter Kriegel:
Using Extended Feature Objects for Partial Similarity Retrieval.
VLDB J. 6(4): 333-348 (1997) |
| 1996 |
|---|
| 21 | EE | Daniel A. Keim:
Databases and Visualization.
SIGMOD Conference 1996: 543 |
| 20 | EE | Stefan Berchtold,
Daniel A. Keim,
Hans-Peter Kriegel:
The X-tree : An Index Structure for High-Dimensional Data
VLDB 1996: 28-39 |
| 19 | EE | Daniel A. Keim,
Hans-Peter Kriegel:
Visualization Techniques for Mining Large Databases: A Comparison.
IEEE Trans. Knowl. Data Eng. 8(6): 923-938 (1996) |
| 18 | EE | Daniel A. Keim:
Pixel-oriented Database Visualizations.
SIGMOD Record 25(4): 35-39 (1996) |
| 1995 |
|---|
| 17 | | Daniel A. Keim,
Hans-Peter Kriegel:
Visualisierungstechniken zur Exploration und Analyse sehr großer Datenbanken.
BTW 1995: 262-281 |
| 16 | EE | Daniel A. Keim,
Mihael Ankerst,
Hans-Peter Kriegel:
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data.
IEEE Visualization 1995: 279- |
| 15 | EE | Daniel A. Keim,
Hans-Peter Kriegel:
VisDB: A System for Visualizing Large Databases.
SIGMOD Conference 1995: 482 |
| 14 | | Daniel A. Keim,
Hans-Peter Kriegel:
Possibilities and Limits in Visualizing Large Databases.
VDB 1995: 203-214 |
| 13 | | 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 |
| 12 | | 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 |
| 1994 |
|---|
| 11 | | Daniel A. Keim,
Hans-Peter Kriegel,
Andreas Miethsam:
Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems.
CoopIS 1994: 203-214 |
| 10 | EE | Daniel A. Keim,
Hans-Peter Kriegel,
Thomas Seidl:
Supporting Data Mining of Large Databases by Visual Feedback Queries.
ICDE 1994: 302-313 |
| 1993 |
|---|
| 9 | | Daniel A. Keim,
Hans-Peter Kriegel,
Andreas Miethsam:
Object-Oriented Querying of Existing Relations Databases.
DEXA 1993: 325-336 |
| 8 | | Daniel A. Keim,
Hans-Peter Kriegel,
Thomas Seidl:
Visual Feedback in Querying Large Databases.
IEEE Visualization 1993: 158-165 |
| 7 | | 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 |
| 6 | | 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 |
| 5 | | 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 |
| 1992 |
|---|
| 4 | | Daniel A. Keim,
Edy S. Prawirohardjo:
Datenbankmaschinen: Performanz durch Parallelität
Bibliographisches Institut 1992 |
| 3 | | Daniel A. Keim,
Vincent Y. Lum:
GRADI: A Graphical Database Interface for a Multimedia DBMS.
IDS 1992: 95-112 |
| 2 | | Daniel A. Keim,
Vincent Y. Lum:
Visual Query Specification in a Multimedia Database System.
IEEE Visualization 1992: 194-201 |
| 1991 |
|---|
| 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 |
