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Shmueli, Galit

Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner / Galit Shmueli - New Jersey : John Wiley & Sons, 2007 - xviii, 279 pages : illustrations ; 26 cm

Introduction --
Overview of the data mining process --
Data exploration and dimension reduction --
Evaluating classification and predictive performance --
Multiple linear regression --
Three simple classification methods --
Classification and regression trees --
Logistic regression --
Neural nets --
Discriminant analysis --
Association rules --
Cluster analysis --
Cases.

Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success

ISBN: 9788126517589

Subjects--Topical Terms:
Computer science, information & general works
Computer programming, programs & data
Microsoft Excel (Computer file)
Data mining.
Dataprocessing.
Statistiek.
Business -- Data processing.

Dewey Class. No.: 005.54 SHM