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.

By: Shmueli, Galit, 1971- [author.]
Contributor(s): Bruce, Peter C | Deokar, Kuber R | Patel, Nitin R
Language: English Publisher: Hoboken, NJ : John Wiley & Sons, Inc., 2023Edition: Fourth editionDescription: xxvii, 589 pages ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 978-1-119-82983-6; 1119829836Uniform titles: Data mining for business intelligence Subject(s): Business -- Data processing | Data miningDDC classification: 650.0727 M1497 2023 LOC classification: HF5548.2 | .S44843 2023Summary: "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.
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Main-Circulation 650.0727 M1497 2023 (Browse shelf) Available UAMAIN 35904
Total holds: 0

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

Includes bibliographical references and index.

"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.

600-699 Technology (Applied Sciences)

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