Data mining techniques : for marketing, sales, and customer relationship management (eBook, 2011) [WorldCat.org]
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Data mining techniques : for marketing, sales, and customer relationship management
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Data mining techniques : for marketing, sales, and customer relationship management

Author: Gordon Linoff; Michael J A Berry
Publisher: Indianapolis, Ind. : Wiley, ©2011.
Edition/Format:  eBook : Document : English : 3rd edView all editions and formats
Summary:
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition-more than 50% new and revised- is a significant update from the previous one, and shows you  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Linoff, Gordon.
Data mining techniques.
Indianapolis, IN : Wiley Pub., 2011
(DLC) 2011921769
(OCoLC)668195935
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Gordon Linoff; Michael J A Berry
ISBN: 9781118087459 1118087453 9781118087473 111808747X 9781118087503 111808750X 1280686197 9781280686191 9786613663139 6613663131
OCLC Number: 731512439
Language Note: English.
Description: 1 online resource (846 pages) : illustrations
Contents: What Is data mining and why do it? --
Data mining applications in marketing and customer relationship management --
The data mining process --
Statistics 101: What you should know about data --
Descriptions and prediction: profiling and predictive modeling --
Data mining using classic statistical techniques --
Decision trees --
Artificail neural networks --
Nearest neighbor approaches: Memory-based reasoning and collaborative filtering --
Knowing when to worry: Using survival analysis to understand customers --
Genetic algorithms and swarm intelligence --
Tell me something new: Pattern discovery and data mining --
Finding islands of similarity: Automatic cluster detection --
Alternative approaches to cluster detection --
Market basket analysis and association rules --
Link analysis --
Data warehousing, OLAP, analytic sandboxes, and data mining --
Building customer signatures --
Derived variables: Making the data mean more --
Too much of a good thing? Techniques for reducing the number of variables --
Listen carefully to what your customers say: text mining.
Responsibility: Gordon S. Linoff, Michael J.A. Berry.

Abstract:

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to  Read more...

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