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Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organizatio

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Name:Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organizatio

Total Size: 3.99 MB

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Springer.Data.Science.and.Classification.Jul.2006.pdf (Size: 3.99 MB) (Files: 1)

 Springer.Data.Science.and.Classification.Jul.2006.pdf

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This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered that includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Apart from structural and theoretical results the book shows how to apply the proposed to a variety of problems, for example in medicine, microarray analysis, social network structures, and music. The combination of new methodological advances with the wide range of real applications collected in this volume is of special value for researchers when choosing the appropriate among newly developed analytical tools for their research problems in classification and data analysis.

ISBN: 3540344152
Publisher: Springer
Date: 28 July, 2006
Author: Vladimir Batagelj, Hans-Hermann Bock, Anuska Ferligoj, Ales Ziberna

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