東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Data mining techniques : = for marke...

Linoff, Gordon.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data mining techniques :/ Michael J.A. Berry, Gordon S. Linoff.
Reminder of title:	for marketing, sales, and customer relationship management /
Author:	Berry, Michael J. A.
other author:	Linoff, Gordon.
Published:	Indianapolis, Ind. :Wiley Pub., : c2004.,
Description:	xxv, 643 p. :ill. ;24 cm.
Notes:	Includes index.
[NT 15003449]:	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.
Subject:	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 /
LDR:01406nam a2200205 a 45 001 705823
005 20060711
008 060706s2004 inua 001 0 eng
010 $a 2003026693
020 $a 0471470643 (pbk./website) : $c US50.00
035 $a GOP940024
040 $a DLC $c DLC $d DLC $d DH
042 $a pcc
050 0 0 $a HF5415.125 $b .B47 2004
082 0 0 $a 658.8/02 $2 22
100 $a Berry, Michael J. A. $3 582000
245 1 0 $a Data mining techniques : $b for marketing, sales, and customer relationship management / $c Michael J.A. Berry, Gordon S. Linoff.
250 $a 2nd ed.
260 $a Indianapolis, Ind. : $c c2004. $b Wiley Pub.,
300 $a xxv, 643 p. : $b ill. ; $c 24 cm.
500 $a Includes index.
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.
650 $a Business $x Data processing. $3 527441
650 $a Data mining. $3 562972
650 $a Marketing $x Data processing. $3 582001
700 $a Linoff, Gordon. $3 581999