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Data Mining for Marketing Intelligence on the Internet

Mulvenna, Maurice, Buchner, AG and Norwood, Marian (1998) Data Mining for Marketing Intelligence on the Internet. In: Competing in Information Society Conference 1998 (CIS-98) (ESPRIT Conference), Genoa. ESPRIT. 12 pp. [Conference contribution]

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Abstract

This paper outlines the sources of data available in on-line retail sites, and explores how Internet marketing may be enhanced by using data mining techniques to discover behavioural and access patterns in the data sources. Data mining is the automated discovery of non-obvious, potentially useful and previously unknown information from large data sources. It use includes heuristic and artificial neural network techniques and induction algorithms to generate rules and associations that may be both useful and actionable. Within the context of relationship marketing data mining can provide knowledge about the unique characteristics of identified customer segments, so that business decisions may be made in relation to customer value and appropriate loyalty incentives can be developed. The potential of data mining is enormous, but its market application may be tempered by customers and consumer organisations who may react negatively to the collection and ‘mining’ of aggregated personal information.The implications are far reaching for Internet marketers, since data mining can improve their understanding of Internet consumer behaviour. It seems evident then, that Internet marketing activities will be characterised by sophisticated targeting of consumers. Ultimately, competitive advantage on the Internet may be determined by the ability of Internet marketers to collect and manage customer databases. The paper concludes by describing the research objectives of MIMIC, a new ESPRIT research project funded under the Electronic Commerce thematic call. The MIMIC (Mining the Internet for Marketing IntelligenCe) project applies data mining techniques to Internet data.

Item Type:Conference contribution (Paper)
Keywords:Data Mining, Electronic Commerce, Marketing Intelligence
Faculties and Schools:Faculty of Computing & Engineering
Ulster Business School > Department of International Business
Faculty of Computing & Engineering > School of Computing and Mathematics
Ulster Business School
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:36511
Deposited By: Professor Maurice Mulvenna
Deposited On:13 Jan 2017 09:42
Last Modified:17 Oct 2017 16:26

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