Personalizing Financial Interactions using Web Mining

Maurice Mulvenna, Tony de Bree, Sarabjot Singh Andan, Alex G Büchner, Matthias Baumgarten

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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The web is fast maturing into an important marketing medium that provides businesses and individuals alike with the ability to undertake one-to-one marketing and provide personalised services to their customers both from a traditional supplier as from a new self-service perspective. In this paper we describe innovative Web Intelligence research in the CERENA project, that provides marketers and eventually customers and visitors in e-finance with access to data mining technology that can sift through large amounts of data collected automatically on customer interaction with the businesses web site. The technical objective of CERENA is to bring to light marketing knowledge that is mutually useful to the financial institution and to their customers.
Original languageEnglish
Title of host publicationProc. 5th International Conference on Artificial Intelligence & Emerging Technologies in Accounting, Finance & Tax
ISBN (Print)84-950895-7-2
Publication statusPublished (in print/issue) - Nov 2000

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Invited Paper


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