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ISBN 10: 036765914X ISBN 13: 9780367659141
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 036765914X ISBN 13: 9780367659141
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 036765914X ISBN 13: 9780367659141
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 036765914X ISBN 13: 9780367659141
Language: English
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Published by Chapman and Hall/CRC, 2020
ISBN 10: 036765914X ISBN 13: 9780367659141
Language: English
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Published by Chapman and Hall/CRC, Boca Raton, 2014
ISBN 10: 1466586745 ISBN 13: 9781466586741
Language: English
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Add to basketHardcover. Condition: Fine. Dust Jacket Condition: No DJ. Pages are clean, no markings from previous owners. Boards are clean. Binding is square and tight. Faint wear to cloth at spine ends and corners. Text block is clean. No dust jacket. PICTURES PROVIDED UPON REQUEST.
Published by Chapman and Hall/CRC 2014-06-22, 2014
ISBN 10: 1466586745 ISBN 13: 9781466586741
Language: English
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Add to basketHardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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ISBN 10: 1466586745 ISBN 13: 9781466586741
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Published by Chapman and Hall/CRC, 2014
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Charu C. Aggarwal is a research scientist at the IBM T.J. Watson Research Center. A fellow of the IEEE and the ACM, he is the author/editor of ten books, an associate editor of several journals, and the vice-president of the SIAM Activit.
Published by Chapman And Hall/CRC, 2014
ISBN 10: 1466586745 ISBN 13: 9781466586741
Language: English
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, this book explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data. It presents core methods in data classification, covers recent problem domains, and discusses advanced methods for enhancing the quality of the underlying classification results.