Data mining techniques
Subtitle: for marketing, sales, and customer relationship management
By: Michael J.A. Berry, Gordon S. Linoff
Contributors: Linoff, Gordon
Edition: 2nd ed
Publisher: Wiley Pub.; Wiley
Published: 2004
Place of publication: Indianapolis, Ind
Language: eng
Number of pages: 643
Subjects: Data mining; Marketing -- Data processing; Business -- Data processing
Notes: Includes index
Table of contents: title: Why and what is data mining?; title: The virtuous cycle of data mining; title: Data mining methodology and best practices; title: Data mining applications in marketing and customer relationship management; title: The lure of statistics: data mining using familiar tools; title: Decision trees; title: Artificial neural networks; title: Nearest neighbor approaches : memory-based reasoning and collaborative filtering; title: Market basket analysis and association rules; title: Link analysis; title: Automatic Cluster detection; title: Knowing when to worry: hazard functions and survival analysis in marketing; title: Genetic algorithms; title: Data mining throughout the customer life cycle; title: Data warehousing, OLAP, and data mining; title: Building the data mining environment; title: Preparing data for mining; title: Putting data mining to work