Data mining techniques: for marketing, sales, and customer relationship management
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Indianapolis, Ind.
Name of Publisher, Distributor, etc.
Wiley Pub.
Date of Publication, Distribution, etc.
c2004
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xxv, 643 p. :ill. ;24 cm.
GENERAL NOTES
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Includes index.
NOTES PERTAINING TO TITLE AND STATEMENT OF RESPONSIBILITY
Text of Note
Michael J.A. Berry, Gordon S. Linoff
ORIGINAL VERSION NOTE
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1
CONTENTS NOTE
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Why and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.