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2003
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.
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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.
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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.
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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.
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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.
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R. Baeza-Yates, B. Bustos, E. Chávez, N. Herrera and G. Navarro.
Clustering in Metric Spaces and Its Application to Information Retrieval.
in W. Wu, H. Xiong, and S. Shekhar (editors), Clustering and Information Retrieval, Kluwer Academic Publishers, pages 1-34, 2003.
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B. Bustos, G. Navarro and E. Chávez.
Pivot Selection Techniques for Proximity Searching in Metric Spaces.
Pattern Recognition Letters, 24(14):2357--2366, 2003.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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