Data mining for business analytics : concepts, techniques, and applications with XLMiner / Galit Shmueli, Peter C. Bruce, Nitin R. Patel.
New Jersey : Wiley, c2016Edition: Third editionDescription: xxxi, 514 pages ; 26 cmContent type:- text
- unmediated
- volume
- Data mining for business intelligence
- 006.312 .Sh558 2016
- HF5548.2 .S44843 2016
Item type | Current library | Call number | Status | Date due | Barcode | |
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Print Materials | Main Library General Circulation | 006.312 .Sh558 2016 (Browse shelf(Opens below)) | Available | 0117620 |
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006.312 .Ig24 2018 An introduction to text mining : | 006.312 .L783 2016 Computational and statistical methods for analysing big data with applications / | 006.312 .M971 2015 Automatede data collection with R : | 006.312 .Sh558 2016 Data mining for business analytics : | 006.31201422 .An545 2015 Statistics for big data for dummies / | 006.31201422 .F919 2015 Improving the user experience through practical data analytics : | 006.42/P539 c1995 Image processing in C / |
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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