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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Bibliographic Details
Other Authors: Apté, Chidanand V. (Editor), Skillicorn, David B. (Editor), Liu, Bing 1963- (Editor), Parthasarathy, Srinivasan (Editor)
Format: Electronic eBook
Language:English
Published: Philadelphia, Pennsylvania Society for Industrial and Applied Mathematics, SIAM [2007]
Subjects:
Online Access:DE-91
DE-20
DE-706
DE-29
https://epubs.siam.org/doi/book/10.1137/1.9781611972771
Inhaltstext
Summary: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
Item Description:Includes bibliographical references and index
Physical Description:1 Online-Ressources (xiv, 648 pages) Illustrationen, Diagramme
ISBN:9781611972771

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