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Data mining for business analytics : concepts, techniques, and applications in JMP Pro Galit Shmueli ... [et al.]

By: Contributor(s): Material type: TextTextPublication details: Hoboken, N.J. : John Wiley & Sons, c2017.Description: xxii, 442 p. : ill. ; 26 cmISBN:
  • 9781118877432
Subject(s): DDC classification:
  • 006.3/12
Online resources: Summary: Featuring hands–on applications with JMP Pro®, a statistical package from the SAS Institute, the book uses engaging, real–world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction. Topics include data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting.
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Holdings
Item type Current library Call number URL Status Date due Barcode Course reserves
REGULAR University of Wollongong in Dubai Main Collection 006.312 SH DA (Browse shelf(Opens below)) More online. Available T0011189

MBAS901 Spring2025

MBAS905 Spring2025

Includes index.

Featuring hands–on applications with JMP Pro®, a statistical package from the SAS Institute, the book uses engaging, real–world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction. Topics include data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting.

MBAS904

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