An Intelligent Classification Method in Bank Customer Relationship Management

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Show simple item record Zhang, J Lu, J Zhang, G 2009-12-21T02:28:10Z 2007-01
dc.identifier.citation New Mathematics and Natural Computation, 2007, 3 (1), pp. 111 - 121
dc.identifier.issn 1793-0057
dc.identifier.other C1 en_US
dc.description.abstract Customer classification is one of the major tasks in customer relationship management. Customers often have both static characteristics and dynamic behavioral features. Using both kinds of data to conduct comprehensive analysis can enhance the reasonability of customer classification. In the proposed classification method, customer dynamic data is clustered using a hybrid genetic algorithm. The result is then combined with customer static data to give reasonable customer segmentation supported by neural network technique. A bank dataset-based experiment shows that applying the proposed method can obviously improve the accuracy of customer classification comparing with the traditional methods where only static data is used.
dc.publisher World Scientific Publishing
dc.title An Intelligent Classification Method in Bank Customer Relationship Management
dc.type Journal Article
dc.parent New Mathematics and Natural Computation
dc.journal.volume 1
dc.journal.volume 3
dc.journal.number 1 en_US
dc.publocation Singapore en_US
dc.identifier.startpage 111 en_US
dc.identifier.endpage 121 en_US FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 1702 Cognitive Sciences
dc.personcode 001038
dc.personcode 020014
dc.personcode 105370
dc.percentage 100 en_US Cognitive Sciences en_US
dc.classification.type FOR-08 en_US
dc.description.keywords Customer classification; bank; genetic algorithm; neural network en_US
dc.description.keywords Customer classification
dc.description.keywords bank
dc.description.keywords genetic algorithm
dc.description.keywords neural network
pubs.embargo.period Not known
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/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)
utslib.collection.history Uncategorised (ID: 363)

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