Customer segmentation and clustering using SAS Enterprise Miner
By: Randall S. Collica
Edition: 2nd ed.
Series: SAS press series
Publisher: SAS
Published: 2011
Place of publication: Cary, N.C
Language: eng
Number of pages: 354
ISBN-13: 9781612900926; 9781607648109
Subjects: Management; Enterprise miner; Data processing; Business; Data mining; SAS (Computer file); SAS (Computer program language); Customer relations
Notes: Prev. ed. published under title: CRM segmentation and clustering using SAS Enterprise miner.

Includes bibliographical references (p. 344) and index.
Table of contents: title: Introduction; title: Why segment? The motivation for segment-based descriptive models; title: Distance: the basic measures of similarity and association; title: Segmentation using a cell-based approach; title: Segmentation of several attributes with clustering; title: Clustering of many attributes; title: When and how to update cluster segments; title: Using segments in predictive models; title: Clustering and the issue of missing data; title: Product affinity and clustering of product affinities; title: Computing segments using SOM/Kohonen for clustering; title: Segmentation of textual data; title: Clustering of product associations; title: Predicting attitudinal segments from survey responses; title: Combining attitudinal and behavioral segments; title: Segmentation of customer transactions.