Customer and business analytics
applied data mining for business decision making using R
Putler, Daniel S.
creator
Krider, Robert E.
text
bibliography
flu
Boca Raton, FL
CRC Press
c2012
2012
monographic
eng
Eng
lis
h
xxvi, 289 p. : ill. ; 27 cm.
I.Purpose and Process 2.A Process Model for Data Mining --CRISP-DM 3.Basic Tools for Understanding Data 4.Multiple Linear Regression 5.Logistic Regression 6.Lift Charts 7.Tree Models 8.Neural Network Models 9.Putting It All Together III.Grouping Methods 10.Ward's Method of Cluster Analysis and Principal Components 11.K-Centroids Partitioning Cluster Analysis
Daniel S. Putler, Robert E. Krider.
Includes bibliographical references (p. 283-285) and index.
Database marketing
Data mining
Decision making
R (Computer program language)
Database management
Software
Data processing
658.403 PUT
Chapman & Hall/CRC the R series
9781466503960 (alk. paper)
1466503963 (alk. paper)
120321
20190906145254.0