An Intelligent Classification Method in Bank Customer Relationship Management

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Show simple item record Zhang, Jie en_US Lu, Jie en_US Zhang, Guangquan en_US 2009-12-21T02:28:10Z 2009-12-21T02:28:10Z 2007 en_US
dc.identifier 2006010572 en_US
dc.identifier.citation Zhang Jie, Lu Jie, and Zhang Guangquan 2007, 'An Intelligent Classification Method in Bank Customer Relationship Management', World Scientific Publishing, vol. 3, no. 1, pp. 111-121. en_US
dc.identifier.issn 1793-0057 en_US
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. en_US
dc.publisher World Scientific Publishing en_US
dc.title An Intelligent Classification Method in Bank Customer Relationship Management en_US
dc.parent New Mathematics and Natural Computation en_US
dc.journal.volume 3 en_US
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 170200 en_US
dc.personcode 105370 en_US
dc.personcode 001038 en_US
dc.personcode 020014 en_US
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.staffid 020014 en_US

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