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Data mining for business analytics : concepts, techniques, and applications with XLMiner / Galit Shmueli, Peter C. Bruce, Nitin R. Patel.

By: Contributor(s): New Jersey : Wiley, c2016Edition: Third editionDescription: xxxi, 514 pages ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Other title:
  • Data mining for business intelligence
Subject(s): DDC classification:
  • 006.312 .Sh558 2016
LOC classification:
  • HF5548.2 .S44843 2016
Summary: "Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, Third edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using XLMiner, available as a Microsoft Office Excel add-in or as a cloud service, to develop predictive models and lean how to obtain business value from Big Data."--Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode
Print Materials Main Library General Circulation 006.312 .Sh558 2016 (Browse shelf(Opens below)) Available 0117620

Originally published as: Data mining for business intelligence, 2007.

Includes bibliographical references (pages 504-505) and index.

"Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, Third edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using XLMiner, available as a Microsoft Office Excel add-in or as a cloud service, to develop predictive models and lean how to obtain business value from Big Data."--Provided by publisher.

Adult

Text in English

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