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Author Collica, Randall S.

Title Customer segmentation and clustering using SAS Enterprise miner / Randall S. Collica. [O'Reilly electronic resource]

Edition 2nd ed.
Imprint Cary, N.C. : SAS Institute, ©2011.
To Access:
Available on O'Reilly for Public Libraries
Bookmark link: https://library.naperville-lib.org:444/record=b3158534~S1
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Description 1 online resource (1 volume) : illustrations.
Series SAS Press series
SAS Press series.
Bibliography Includes bibliographical references and index.
Contents Why segment? The motivation for segment-based descriptive models -- Distance : the basic measures of similarity and association -- Segmentation using a cell-based approach -- Segmentation of several attributes with clustering -- Clustering of many attributes -- When and how to update cluster segments -- Using segments in predictive models -- Clustering and the issue of missing data -- Product affinity and clustering of product affinities -- Computing segments using SOM/Kohonen for clustering -- Segmentation of textual data -- Clustering of product associations -- Predicting attitudinal segments from survey responses -- Combining attitudinal and behavioral segments -- Segmentation of customer transactions.
Subject Enterprise miner.
SAS (Computer file)
Enterprise miner.
SAS (Computer file)
Enterprise miner
SAS (Computer file)
Business -- Data processing.
Customer relations -- Management -- Data processing.
Relationship marketing -- Data processing.
Data mining.
SAS (Computer program language)
Management -- Data processing.
Gestion -- Informatique.
Marketing relationnel -- Informatique.
Exploration de données (Informatique)
SAS (Langage de programmation)
Management -- Data processing
Business -- Data processing
Customer relations -- Management -- Data processing
Data mining
SAS (Computer program language)
Commerce.
Business & Economics.
Marketing & Sales.
Other Form: Print version: Collica, Randall S. Customer segmentation and clustering using SAS Enterprise Miner. 2nd ed. Cary, N.C. : SAS, ©2011 9781612900926 (DLC) 2012360715 (OCoLC)761284225
ISBN 9781612900926 (electronic book)
1612900925 (electronic book)
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