It looks like you're offline.
Open Library logo
additional options menu

MARC Record from harvard_bibliographic_metadata

Record ID harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:1053430601:1935
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:1053430601:1935?format=raw

LEADER: 01935nam a22003495a 4500
001 013916576-2
005 20140130020555.0
008 130711s2011 ncua b 001 0 eng d
020 $a9781612900926
020 $a1612900925
020 $a9781607648109 (pbk.)
035 0 $aocn852502135
040 $aUMI$cUMI$dMH
090 $aHF5548.2$b.C59 2011
100 1 $aCollica, Randall S.
245 10 $aCustomer segmentation and clustering using SAS Enterprise Miner /$cRandall S. Collica.
250 $a2nd ed.
260 $aCary, N.C. :$bSAS,$cc2011.
300 $a1 online resource (1 v.) :$bill.
588 $aDescription based on print version record.
500 $aPrev. ed. published under title: CRM segmentation and clustering using SAS Enterprise miner.
504 $aIncludes bibliographical references and index.
505 0 $aWhy 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.
630 00 $aEnterprise miner.
630 00 $aSAS (Computer file)
650 0 $aBusiness$xData processing.
650 0 $aCustomer relations$xManagement$xData processing.
650 0 $aData mining.
650 0 $aSAS (Computer program language)
700 1 $aCollica, Randall S.$tCRM segmentation and clustering using SAS Enterprise miner.
988 $a20140130
906 $0OCLC