Data mining techniques - Info and Reading Options
for marketing, sales, and customer relationship management
By Michael J. A Berry
"Data mining techniques" was published by Wiley Pub. in 2004 - Indianapolis, Ind, it has 643 pages and the language of the book is English.
“Data mining techniques” Metadata:
- Title: Data mining techniques
- Author: Michael J. A Berry
- Language: English
- Number of Pages: 643
- Publisher: Wiley Pub.
- Publish Date: 2004
- Publish Location: Indianapolis, Ind
“Data mining techniques” Subjects and Themes:
- Subjects: ➤ Data processing - Marketing - Business - Data mining - Computer Technology - Nonfiction - Database marketing - Marketing, data processing - Business, data processing
Edition Specifications:
- Pagination: xxv, 643 p. :
Edition Identifiers:
- The Open Library ID: OL17145987M - OL12064164W
- Online Computer Library Center (OCLC) ID: 53896596
- Library of Congress Control Number (LCCN): 2003026693
- ISBN-10: 0471470643
- All ISBNs: 0471470643
AI-generated Review of “Data mining techniques”:
"Data mining techniques" Table Of Contents:
- 1- Why and what is data mining?
- 2- The virtuous cycle of data mining
- 3- Data mining methodology and best practices
- 4- Data mining applications in marketing and customer relationship management
- 5- The lure of statistics: data mining using familiar tools
- 6- Decision trees
- 7- Artificial neural networks
- 8- Nearest neighbor approaches : memory-based reasoning and collaborative filtering
- 9- Market basket analysis and association rules
- 10- Link analysis
- 11- Automatic Cluster detection
- 12- Knowing when to worry: hazard functions and survival analysis in marketing
- 13- Genetic algorithms
- 14- Data mining throughout the customer life cycle
- 15- Data warehousing, OLAP, and data mining
- 16- Building the data mining environment
- 17- Preparing data for mining
- 18- Putting data mining to work
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