Machine learning for business analytics : concepts, techniques, and applications with Analytic Solver Data Mining

著者

書誌事項

Machine learning for business analytics : concepts, techniques, and applications with Analytic Solver Data Mining

Galit Shmueli, Peter C. Bruce, Kuber R. Deokar, Nitin R. Patel

Wiley, 2023

4th edition

  • : hardback

タイトル別名

Data mining for business intelligence

Data mining for business analytics

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注記

Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)

Earlier editions published as: Data mining for business intelligence, and: Data mining for business analytics

Summary: "This book provides comprehensive information on data analytics. It begins with a preliminary introduction and overview of the data mining process in Part I. In Part II the authors move on to discuss data exploration and dimension reduction. Part III covers performance evaluation and Part IV goes into prediction and classification methods. Part V shows how mining relationships among records are determined before the book moves to forecasting time series in Part VI. The book closes with a more in-depth look at data analytics in Part VII and case studies in Part VIII"--Provided by publisher

Includes bibliographical references and index

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