Publikation: PixelMaps : A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
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2003
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Third IEEE International Conference on Data Mining. IEEE Comput. Soc, 2003, pp. 565-568. ISBN 0-7695-1978-4. Available under: doi: 10.1109/ICDM.2003.1250978
Zusammenfassung
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kernel-density-based clustering with pixel-oriented displays to emphasize clusters while avoiding overlap in locally dense point sets on maps. Because a full evaluation of density functions is prohibitively expensive, we also propose an efficient approximation, Fast-PixelMap, based on a synthesis of the quadtree and gridfile data structures.
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Third IEEE International Conference on Data Mining, Melbourne, FL, USA
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KEIM, Daniel A., Christian PANSE, Mike SIPS, Stephen C. NORTH, 2003. PixelMaps : A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. Third IEEE International Conference on Data Mining. Melbourne, FL, USA. In: Third IEEE International Conference on Data Mining. IEEE Comput. Soc, 2003, pp. 565-568. ISBN 0-7695-1978-4. Available under: doi: 10.1109/ICDM.2003.1250978BibTex
@inproceedings{Keim2003Pixel-5471,
year={2003},
doi={10.1109/ICDM.2003.1250978},
title={PixelMaps : A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets},
isbn={0-7695-1978-4},
publisher={IEEE Comput. Soc},
booktitle={Third IEEE International Conference on Data Mining},
pages={565--568},
author={Keim, Daniel A. and Panse, Christian and Sips, Mike and North, Stephen C.}
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