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Classification, Clustering, and Data Mining Applications
  • Classification, Clustering, and Data Mining Applications
Classification, Clustering, and Data Mining Applications Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15–18 July 2004

Classification, Clustering, and Data Mining Applications Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15–18 July 2004

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Studies in Classification, Data Analysis, and Knowledge Organization

Classification, Clustering, and Data Mining Applications

Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15–18 July 2004

David Banks | Leanna House | Frederick R. McMorris | Phipps Arabie | Wolfgang A. Gaul

Language Arts & Disciplines / Library & Information Science / General

Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Publication Date: 09 June 2004
Publisher: Springer Berlin Heidelberg
Imprint: Springer
ISBN-13: 9783540220145
Format: Paperback / softback
Page Count: 658

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