Proceedings of the Seventh SIAM International Conference on Data Mining: Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007
The Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them bec...
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Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Philadelphia, Pennsylvania
Society for Industrial and Applied Mathematics, SIAM
[2007]
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Schlagworte: | |
Online-Zugang: | DE-91 DE-20 DE-706 DE-29 https://epubs.siam.org/doi/book/10.1137/1.9781611972771 Zentralblatt MATH |
Zusammenfassung: | The Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them because they are large and often noisy. Sophisticated, highperformance, and principled analysis techniques and algorithms, based on sound statistical foundations, are required. Visualization is often critically important; tuning for performance is a significant challenge; and the appropriate levels of abstraction to allow end-users to exploit sophisticated techniques and understand clearly both the constraints and interpretation of results are still something of an open question |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressources (xiv, 648 pages) Illustrationen, Diagramme |
ISBN: | 9781611972771 |
Internformat
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author2 | Apté, Chidanand V. Skillicorn, David B. Liu, Bing 1963- Parthasarathy, Srinivasan |
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spelling | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 edited by Chid Apte, David Skillicorn, Bing Liu, and Srinivasan Parthasarathy Philadelphia, Pennsylvania Society for Industrial and Applied Mathematics, SIAM [2007] 1 Online-Ressources (xiv, 648 pages) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index The Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them because they are large and often noisy. Sophisticated, highperformance, and principled analysis techniques and algorithms, based on sound statistical foundations, are required. Visualization is often critically important; tuning for performance is a significant challenge; and the appropriate levels of abstraction to allow end-users to exploit sophisticated techniques and understand clearly both the constraints and interpretation of results are still something of an open question Data mining / Congresses Data mining ; Congresses Discrete mathematics and graph theory Apté, Chidanand V. edt Skillicorn, David B. (DE-588)1147709343 edt Liu, Bing 1963- (DE-588)1014900026 edt Parthasarathy, Srinivasan (DE-588)1224691261 edt Erscheint auch als Druck-Ausgabe 978-0-898716-30-6 X:SIAM https://epubs.siam.org/doi/book/10.1137/1.9781611972771 Verlag B:ZBM https://zbmath.org/?q=an:1203.68002 2021-04-12 Verlag Zentralblatt MATH Inhaltstext |
spellingShingle | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 |
title | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 |
title_auth | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 |
title_exact_search | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 |
title_exact_search_txtP | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 |
title_full | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 edited by Chid Apte, David Skillicorn, Bing Liu, and Srinivasan Parthasarathy |
title_fullStr | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 edited by Chid Apte, David Skillicorn, Bing Liu, and Srinivasan Parthasarathy |
title_full_unstemmed | Proceedings of the Seventh SIAM International Conference on Data Mining Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 edited by Chid Apte, David Skillicorn, Bing Liu, and Srinivasan Parthasarathy |
title_short | Proceedings of the Seventh SIAM International Conference on Data Mining |
title_sort | proceedings of the seventh siam international conference on data mining proceedings of the seventh siam international conference on data mining minneapolis mn april 26 28 2007 |
title_sub | Proceedings of the Seventh SIAM International Conference on Data Mining, Minneapolis, MN, April 26–28, 2007 |
url | https://epubs.siam.org/doi/book/10.1137/1.9781611972771 https://zbmath.org/?q=an:1203.68002 |
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