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Data mining for business intelligence: concepts, techniques, and applications in Microsoft Office Excel with XLMiner
Data mining for business intelligence: concepts, techniques, and applications in Microsoft Office Excel with XLMiner
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Author
Shmueli, Galit
Publisher
Wiley
Publication Date
©2010
Edition
2nd ed.
Language
English
eBook
Show Edition
Available Online
O'Reilly
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Description
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Subjects
Subjects
Business
Business -- Data processing
Data mining
Data processing
Exploration de données (Informatique)
Gestion
Gestion -- Informatique
Informatique
Management
Management -- Data processing
Microsoft Excel (Computer file)
Table of Contents
From the eBook - 2nd ed.
Introduction
Overview of the data mining process
Data visualization
Dimension reduction
Evaluating classification and predictive performance
Multiple linear regression
knearest neighbors (kNN)
Naive bayes
Classification and regression trees
Logistic regression
Neural nets
Discriminant analysis
Association rules
Cluster Analysis
Handling time series
Regression-based forecasting
Smoothing methods
Cases.
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More Details
Contributors
Bruce, Peter C.,1953
Patel, Nitin R
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