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Data mining techniques : = for marke...

Linoff, Gordon.

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Data mining techniques : = for marketing, sales, and customer relationship management /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
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, Ind. :Wiley Pub., : c2004.,
面頁冊數:	xxv, 643 p. :ill. ;24 cm.
附註:	Includes index.
內容註:	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.
標題:	Business - Data processing. -
ISBN:	0471470643 (pbk./website) :

Data mining techniques : = for marketing, sales, and customer relationship management /
Berry, Michael J. A.

Data mining techniques :for marketing, sales, and customer relationship management /Michael J.A. Berry, Gordon S. Linoff. - 2nd ed. - Indianapolis, Ind. :Wiley Pub.,c2004. - xxv, 643 p. :ill. ;24 cm.

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: 0471470643 (pbk./website) :US50.00

LCCN: 2003026693Subjects--Topical Terms:

527441
Business
--Data processing.

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

Dewey Class. No.: 658.8/02

Data mining techniques : = for marketing, sales, and customer relationship management /
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505 0 $a 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.
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