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In den WarenkorbZustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbHardcover. Zustand: Fair. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Verlag: Wiley & Sons, Incorporated, John, 2015
ISBN 10: 1118116194 ISBN 13: 9781118116197
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
EUR 78,28
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In den WarenkorbZustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 145,09
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Verlag: Wiley & Sons, Wiley-IEEE Press, 2015
ISBN 10: 1118116194 ISBN 13: 9781118116197
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 164,35
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In den WarenkorbBuch. Zustand: Neu. Neuware - Learn methods of data analysis and their application to real-world data setsThis updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified 'white box' approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets.Data Mining and Predictive Analytics, Second Edition:\* Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language\* Features over 750 chapter exercises, allowing readers to assess their understanding of the new material\* Provides a detailed case study that brings together the lessons learned in the book\* Includes access to the companion website, dataminingconsultant, with exclusive password-protected instructor contentData Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.