Risk prediction framework and model for bank external fund attrition

Lin, H; Zhang, G

Risk prediction framework and model for bank external fund attrition

Lin, H Zhang, G

Permalink

Publication Type:: Conference Proceeding
Citation:: Communications in Computer and Information Science, 2012, 297 CCIS (PART 1), pp. 170 - 180
Issue Date:: 2012-11-02

Closed Access

	Filename	Description	Size
	2012001684OK.pdf		245.88 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Lin, H	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2012-11-02	en_US
dc.identifier.citation	Communications in Computer and Information Science, 2012, 297 CCIS (PART 1), pp. 170 - 180	en_US
dc.identifier.isbn	9783642317088	en_US
dc.identifier.issn	1865-0929	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23005
dc.description.abstract	Customer Attrition is a function of customer transaction and service related characteristics and also a combination of cancellation and switching to a competitor. This paper first presents a risk prediction framework for bank customer attrition. A risk prediction approach and a combined sporadic risk prediction model are then proposed to support decision making of financial managers. Real world experiments validate the proposed framework, approach and model and show the positive results for bank customer attrition prediction and marketing decision making. © 2012 Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.ispartof	Communications in Computer and Information Science	en_US
dc.relation.isbasedon	10.1007/978-3-642-31709-5_18	en_US
dc.title	Risk prediction framework and model for bank external fund attrition	en_US
dc.type	Conference Proceeding
utslib.citation.volume	PART 1	en_US
utslib.citation.volume	297 CCIS	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Catania, Italy	en_US
dc.location.activity	Bangkok Chulalongkorn University, Bangkok, Thailand
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	PART 1	en_US
pubs.publication-status	Published	en_US
pubs.volume	297 CCIS	en_US

Abstract:

Customer Attrition is a function of customer transaction and service related characteristics and also a combination of cancellation and switching to a competitor. This paper first presents a risk prediction framework for bank customer attrition. A risk prediction approach and a combined sporadic risk prediction model are then proposed to support decision making of financial managers. Real world experiments validate the proposed framework, approach and model and show the positive results for bank customer attrition prediction and marketing decision making. © 2012 Springer-Verlag Berlin Heidelberg.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/23005