NDLI: Customer Value Analysis Based on Rough Set Data Mining Technique

Content Provider	IEEE Xplore Digital Library
Author	Wang Hong
Copyright Year	2008
Description	Author affiliation: Sch. of Econ. & Bus. Adm., HeiLongJiang Univ., Harbin (Wang Hong)
Abstract	This paper studies data mining algorithm based on classification mode in detail, especially classification rules pick-up based on rough sets and based on construction decision trees. An improving-algorithm of decision tree model based on rough sets is given. The technique of decision tree based on rough sets is used in customer value management fields, measurement customer value and segmentation customers were carried out after the decision tree model based on rough sets was set up by a series of feasible index system. Based on data mining technique, We can provide intelligent decision support for the customer management of enterprise by efficiently identifying customers, evaluating customer value, segmentation customers, improving the sale effect, retaining customers and increasing customers satisfaction and loyalty degree and so on.
Starting Page	1
Ending Page	4
File Size	110264
Page Count	4
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.2511
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Productivity Rough sets Companies Marketing and sales Classification algorithms Data mining Decision trees Information systems Classification tree analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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