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: Apté, Chidanand V. (HerausgeberIn), Skillicorn, David B. (HerausgeberIn), Liu, Bing 1963- (HerausgeberIn), Parthasarathy, Srinivasan (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Philadelphia, Pennsylvania Society for Industrial and Applied Mathematics, SIAM [2007]
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

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