Coverart for item
The Resource Customer segmentation and clustering using SAS Enterprise Miner, Randall S. Collica

Customer segmentation and clustering using SAS Enterprise Miner, Randall S. Collica

Label
Customer segmentation and clustering using SAS Enterprise Miner
Title
Customer segmentation and clustering using SAS Enterprise Miner
Statement of responsibility
Randall S. Collica
Creator
Contributor
Author
Subject
Genre
Language
eng
Cataloging source
UMI
http://library.link/vocab/creatorName
Collica, Randall S
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Collica, Randall S
http://library.link/vocab/subjectName
  • Business
  • Customer relations
  • Data mining
  • SAS (Computer program language)
Label
Customer segmentation and clustering using SAS Enterprise Miner, Randall S. Collica
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781607648109
Instantiates
Publication
Copyright
Note
Prev. edition published under title: CRM segmentation and clustering using SAS Enterprise miner
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
ocn852502135
Dimensions
unknown
Edition
2nd ed.
Extent
1online resource (1 volume)
Form of item
  • online
  • electronic
Isbn
9781612900926
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Sound
unknown sound
Specific material designation
remote
Stock number
CL0500000224
System control number
(OCoLC)852502135
Label
Customer segmentation and clustering using SAS Enterprise Miner, Randall S. Collica
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781607648109
Publication
Copyright
Note
Prev. edition published under title: CRM segmentation and clustering using SAS Enterprise miner
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
ocn852502135
Dimensions
unknown
Edition
2nd ed.
Extent
1online resource (1 volume)
Form of item
  • online
  • electronic
Isbn
9781612900926
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Sound
unknown sound
Specific material designation
remote
Stock number
CL0500000224
System control number
(OCoLC)852502135

Library Locations

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      42.7009413 -71.1255084
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