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Data Science and Classification

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Description

Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
Release date NZ
July 5th, 2006
Audience
  • Professional & Vocational
Contributors
  • Edited by Ales Ziberna
  • Edited by Anuska Ferligoj
  • Edited by Hans-Hermann Bock
  • Edited by Vladimir Batagelj
Illustrations
67 Illustrations, black and white; XII, 358 p. 67 illus.
Pages
358
Dimensions
156x234x19
ISBN-13
9783540344155
Product ID
3135902

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