Customer online shopping behaviours analysis using Bayesian networks

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dc.contributor.author Lu, Zi en_US
dc.contributor.author Lu, Jie en_US
dc.contributor.author Bai, Chenggang en_US
dc.contributor.author Zhang, Guangquan en_US
dc.contributor.editor Sattar, A., Kang, B.H. en_US
dc.date.accessioned 2009-11-09T02:45:17Z
dc.date.available 2009-11-09T02:45:17Z
dc.date.issued 2006 en_US
dc.identifier 2006004974 en_US
dc.identifier.citation Lu Zi et al. 2006, 'Customer online shopping behaviours analysis using Bayesian networks', Springer, Berlin, Germany, pp. 1293-1297. en_US
dc.identifier.issn 0302-9743 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1759
dc.description.abstract This study applies Bayesian network technique to analyse the relationships among customer online shopping behaviours and customer requirements. This study first proposes an initial behaviour-requirement relationship model as domain knowledge. Through conducting a survey customer data is collected as evidences for inference of the relationships among the factors described in the model. After creating a graphical structure, this study calculates conditional probability distribution among these factors, and then conducts inference by using the Junction-tree algorithm. A set of useful findings has been obtained for customer online shopping behaviours and their requirements with motivations. These findings have potential to help businesses adopting more suitable online system development. en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/11941439_163 en_US
dc.title Customer online shopping behaviours analysis using Bayesian networks en_US
dc.parent AI 2006: Advances in artificial intelligence en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin, Germany en_US
dc.identifier.startpage 1293 en_US
dc.identifier.endpage 1297 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference.location Hobart, Australia en_US
dc.for 080100 en_US
dc.personcode 0000026116 en_US
dc.personcode 001038 en_US
dc.personcode 0000022843 en_US
dc.personcode 020014 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom Australasian Joint Conference on Artificial Intelligence en_US
dc.date.activity 20061201 en_US
dc.location.activity Hobart, Australia en_US
dc.description.keywords e-services, bayesian network, customer behaviours, inference en_US
dc.staffid 020014 en_US


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