大葉大學圖書館 |

登入

回上页

Developing churn models using data m...

IGI Global,

Developing churn models using data mining techniques and social network analysis /

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	658.8/342
[NT 47271] Title/Author:	Developing churn models using data mining techniques and social network analysis // by Goran Klepac, Robert Kopal and Leo Mrsic.
作者:	Klepac, Goran,
[NT 51406] other author:	Kopal, Robert,
面页册数:	PDFs (308 pages).
附注:	"Research essentials collection".
标题:	Customer loyalty.
标题:	Consumer satisfaction.
标题:	Data mining.
ISBN:	9781466662896 (ebook)
ISBN:	9781466662889
ISBN:	9781466662919
[NT 15000227] null:	Includes bibliographical references.
[NT 15000228] null:	Churn problem in everyday business -- Setting (realistic) business aims -- Data mining techniques for churn mitigation/detection: intrinsic attributes approach -- Social network analysis (SNA) for churn mitigation/detection: introduction and metrics -- Data preparation and churn detection -- Churn analysis using selected structured analytic techniques -- Attribute relevance analysis -- From churn models to churn solution -- Measuring predictive power -- Churn model development, monitoring, and adjustment -- Churn case studies.
[NT 15000229] null:	"This book provides an in-depth analysis of attrition modeling relevant to business planning and management, offering insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytic tools"--Provided by publisher.
电子资源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6288-9

Developing churn models using data mining techniques and social network analysis /
Klepac, Goran,1972-

Developing churn models using data mining techniques and social network analysis /by Goran Klepac, Robert Kopal and Leo Mrsic. - PDFs (308 pages).

"Research essentials collection".

Includes bibliographical references.

Churn problem in everyday business -- Setting (realistic) business aims -- Data mining techniques for churn mitigation/detection: intrinsic attributes approach -- Social network analysis (SNA) for churn mitigation/detection: introduction and metrics -- Data preparation and churn detection -- Churn analysis using selected structured analytic techniques -- Attribute relevance analysis -- From churn models to churn solution -- Measuring predictive power -- Churn model development, monitoring, and adjustment -- Churn case studies.

Restricted to subscribers or individual electronic text purchasers.

"This book provides an in-depth analysis of attrition modeling relevant to business planning and management, offering insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytic tools"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781466662896 (ebook)

Standard No.: 10.4018/978-1-4666-6288-9doi

LCCN: 2014017276Subjects--Topical Terms:

340841
Customer loyalty.
Subjects--Index Terms:

Attribute relevance analysis

LC Class. No.: HF5415.525 / .K56 2014e

Dewey Class. No.: 658.8/342

Developing churn models using data mining techniques and social network analysis /
LDR:02576nam a2200469 i 4500 001 427422
003 IGIG
005 20140925005150.0
008 151130s2014 pau fob 000 0 eng d
010 $a 2014017276
020 $a 9781466662896 (ebook)
020 $a 9781466662889 $q print
020 $a 9781466662919 $q print & perpetual access
024 7 $a 10.4018/978-1-4666-6288-9 $2 doi
035 $a (CaBNVSL)gtp00560411
035 $a (OCoLC)891329644
035 $a 00000110
040 $a CaBNVSL $b eng $e rda $c CaBNVSL $d CaBNVSL
050 4 $a HF5415.525 $b .K56 2014e
082 0 4 $a 658.8/342 $2 23
100 1 $a Klepac, Goran, $d 1972- $e author. $3 608053
245 1 0 $a Developing churn models using data mining techniques and social network analysis / $c by Goran Klepac, Robert Kopal and Leo Mrsic.
264 1 $a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pa., 17033, USA) : $b IGI Global, $c [2014]
300 $a PDFs (308 pages).
336 $a text $2 rdacontent
337 $a electronic $2 isbdmedia
338 $a online resource $2 rdacarrier
500 $a "Research essentials collection".
504 $a Includes bibliographical references.
505 0 $a Churn problem in everyday business -- Setting (realistic) business aims -- Data mining techniques for churn mitigation/detection: intrinsic attributes approach -- Social network analysis (SNA) for churn mitigation/detection: introduction and metrics -- Data preparation and churn detection -- Churn analysis using selected structured analytic techniques -- Attribute relevance analysis -- From churn models to churn solution -- Measuring predictive power -- Churn model development, monitoring, and adjustment -- Churn case studies.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book provides an in-depth analysis of attrition modeling relevant to business planning and management, offering insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytic tools"--Provided by publisher.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
650 0 $a Customer loyalty. $3 340841
650 0 $a Consumer satisfaction. $3 190751
650 0 $a Data mining. $3 337740
653 $a Attribute relevance analysis
653 $a Behavioral variables
653 $a Churn prediction
653 $a Data sampling
653 $a Predictive analytics
653 $a Risk management
653 $a Web analytics
700 1 $a Kopal, Robert, $d 1964- $e author. $3 608054
700 1 $a Mrsic, Leo, $d 1973- $e author. $3 608055
710 2 $a IGI Global, $e publisher. $3 608005
776 0 $c (Original) $w (DLC)2014017276
776 0 8 $i Print version: $z 1466662883 $z 9781466662889 $w (DLC) 2014017276
856 4 1 $3 Chapter PDFs via platform: $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6288-9

读者评论 0 笔

多媒体

多媒体档案
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6288-9

新增评论分享你的心得

Export

[NT 5501410] pickup library