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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

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 dia...

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Bibliographic Details
Other Authors: Banks, David (Editor), House, Leanna (Editor), McMorris, Frederick R. (Editor), Arabie, Phipps (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2004, 2004
Edition:1st ed. 2004
Series:Studies in Classification, Data Analysis, and Knowledge Organization
Subjects:
Computer Communication Networks
Mathematical Statistics
Artificial Intelligence / Data Processing
Statistical Theory And Methods
Computer Science / Mathematics
Probability And Statistics In Computer Science
Library Science
Statistics 
Biostatistics
Computer Networks 
Biometry
Data Science
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XIV, 658 p online resource
ISBN:9783642171031

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