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Data mining for business analytics : concepts, techniques, and applications in JMP Pro /

Bibliographic Details
Main Authors: Shmueli, Galit, 1971- (Author), Bruce, Peter C., 1953- (Author), Stephens, Mia L. (Author), Patel, Nitin R. (Nitin Ratilal) (Author)
Corporate Author: ebrary, Inc
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, 2016.
Subjects:
Business mathematics > Computer programs.
Business > Data processing.
JMP (Computer file)
Data mining.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Overview of the data mining process
  • Data visualization
  • Dimension reduction
  • Evaluating predictive performance
  • Multiple linear regression
  • K-nearest neighbors (kNN)
  • The naive Bayes classifier
  • Classification and regression trees
  • Logistic regression
  • Neural nets
  • Discriminant analysis
  • Combining methods : ensembles and uplift modeling
  • Cluster analysis
  • Handling time series
  • Regression-based forecasting
  • Smoothing methods
  • Cases.