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Data mining techniquesfor marketing,...

Berry, Michael J. A.

Data mining techniquesfor marketing, sales, and customer relationship management /

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Data mining techniques/ Michael J.A. Berry, Gordon S. Linoff.
其他題名:	for marketing, sales, and customer relationship management /
作者:	Berry, Michael J. A.
其他作者:	Linoff, Gordon.
出版者:	Indianapolis :Wiley,c2004.
面頁冊數:	1 online resource (xxv, 643 p.) :ill., 1 map.
附註:	Includes index.
標題:	Data mining. -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0764569074 (electronic bk.)
ISBN:	9780764569074 (electronic bk.)
ISBN:	9780471470649 (paper/website)
ISBN:	0471470643 (paper/website)

Data mining techniquesfor marketing, sales, and customer relationship management /
Berry, Michael J. A.

Data mining techniquesfor marketing, sales, and customer relationship management /[electronic resource] :Michael J.A. Berry, Gordon S. Linoff. - 2nd ed. - Indianapolis :Wiley,c2004. - 1 online resource (xxv, 643 p.) :ill., 1 map.

Includes index.

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.

ISBN: 0764569074 (electronic bk.)

OverDrive, Inc.http://www.overdrive.comSubjects--Topical Terms:

147024
Data mining.
Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: HF5415.125 / .B47 2004eb

Dewey Class. No.: 658.8/02

Data mining techniquesfor marketing, sales, and customer relationship management /
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