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1999
D. A. Keim and A. Hinneburg.
Clustering Methods for Large Databases: From the Past to the Future.
SIGMOD Record, 28(2), DOI: 10.1145/304181.304232, 1999.
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A. Hinneburg and D. A. Keim.
Clustering Techniques for Large Data Sets: From the Past to the Future.
KDD '99: Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, pages 141--181, DOI: 10.1145/312179.312189, 1999.
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D. A. Keim.
Efficient Geometry--based Similarity Search of 3D Spatial Databases.
Proc. ACM SIGMOD Int. Conf. on Management of Data, Philadelphia, PA, ACM Press, pages 419--430, 1999.
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B. Bustos.
Study and Optimization of Shellsort Algorithm.
Proc. of the VII Chilean Computer Science Meeting, pages 44--54, 1999.
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J. Abello, E. R. Gansner, D. A. Keim, E. Koutsofios, S. C. North and R. Truscott.
Visualizing Large-Scale Telecommunication Networks and Services.
Proc. AT&T Software Symposium, 1999.
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D. A. Keim, E. Koutsofios and S. C. North.
Visual Exploration of Large Telecommunication Data Sets.
Proc. 1st Int. Workshop on User Interfaces In Data Intensive Systems (UIDIS'99) (Invited Talk), Edinburgh, Scotland, pages 12--20, 1999.
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D. A. Keim, E. Koutsofios, S. C. North and C. Ganssner.
Visualization Techniques at Work in Large Scale Telecommunication Applications.
Proc. Visualization'99, San Francisco, CA, pages 457--461, 1999.
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E. Koutsofios, S. C. North, R. Truscott and D. A. Keim.
Visualizing Large-Scale Telecommunication Networks and Services (case study).
Proc. IEEE Visualization 1999 (Vis'99), San Francisco, California, USA, pages 457--461, 1999.
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D. A. Keim.
Visual Mining of High-Dimensional Data.
Euro-American Workshop on Visualization of Information and Data, Paris, 1999.
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D. A. Keim.
Visual Data Exploration.
Simulation und Visualisierung '99, Magdeburg, Germany, pages 397-400, 1999.
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A. Hinneburg, M. Wawryniuk: and D. A. Keim.
HD-Eye: Visual Mining of High-Dimensional Data.
IEEE Computer Graphics & Applications Journal, 19(5):22--31, 1999.
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E. Koutsofios, D. A. Keim and S. C. North.
Visualizing Large Telecommunication Data Sets.
IEEE Computer Graphics & Applications Journal, 19(3):16--19, 1999.
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A. Hinneburg and D. A. Keim.
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering.
Proc. 25th Int. Conf. on Very Large Data Bases (VLDB), Edinburgh, Scotland, pages 506--517, 1999.
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