Mining Online Users' Access Records for Web Business Intelligence
Simon Fong2; Serena Chan1
2002-12-01
Conference Name2002 IEEE International Conference on Data Mining, 2002. Proceedings.
Source PublicationProceedings - IEEE International Conference on Data Mining, ICDM
Pages759-762
Conference Date9-12 Dec. 2002
Conference PlaceMaebashi City, Japan, Japan
PublisherIEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA Categ
Abstract

This paper discusses about how business intelligence on a website could be obtained from users' access records instead of web logs of "hits". Users' access records are captured by implementing an Access-Control (AC) architectural model on the website. This model requires users to register their profiles in an exchange of a password; and thereafter they have to login before gaining access to certain resources on the website. The links to the resources on the website have been modified such that a record of information about the access would be recorded in the database when clicked. This way, data-mining can be performed on a relatively clean set of access records about the users. Hence, a good deal of business intelligence about the users' behaviors, preferences and about the popularities of the resources (products) on the website can be gained. In this paper, we also discussed how the business intelligence acquired, in turn, can be used to provide e-CRM for the users.

DOIhttps://doi.org/10.1109/ICDM.2002.1184047
URLView the original
Indexed BySCIE
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000180274000116
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Faculty of Science and Technology, Universidade de Macau, Macao
2.Omron Asia Pacific, e-Business Development Team, Singapore
Recommended Citation
GB/T 7714
Simon Fong,Serena Chan. Mining Online Users' Access Records for Web Business Intelligence[C]:IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA Categ,2002:759-762.
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