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Classification, Clustering, and Data Mining Applications
. Ed(S): Banks, David L.; House, Leanna L.; McMorris, F.R.; Arabie, Phipps; Gaul, Wolfgang
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Description for Classification, Clustering, and Data Mining Applications
Paperback. Describes fresh methods with special emphasis on classification and cluster analysis. Editor(s): Banks, David L.; House, Leanna L.; McMorris, F.R.; Arabie, Phipps; Gaul, Wolfgang. Series: Studies in Classification, Data Analysis, and Knowledge Organization. Num Pages: 672 pages, 86 black & white tables, biography. BIC Classification: GLK. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 34. Weight in Grams: 933.
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.
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.
Product Details
Format
Paperback
Publication date
2004
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
672
Condition
New
Series
Studies in Classification, Data Analysis, and Knowledge Organization
Number of Pages
658
Place of Publication
Berlin, Germany
ISBN
9783540220145
SKU
V9783540220145
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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