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Mining Marketing Intelligence from Internet Retailing Data: User Requirements & Business Process Description

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Slater, D, Mulvenna, Maurice, Büchner, Alex and Moussy, L (1999) Mining Marketing Intelligence from Internet Retailing Data: User Requirements & Business Process Description. In: Business & Work in the Information Society: New Technologies & Applications. (Eds: Roger, J.-Y., Stanford-Smith, B and Kidd, P.T.), IOS Press, pp. 63-69. ISBN 90-5199-491-5 [Book section]

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Abstract

This paper looks at data mining applied to Internet retailing from the perspective of a user partner in the MIMIC research project. It discusses the methods used to identify requirements, and briefly outlines these user requirements. It also examines the naturee of the busisness process within which data mining shall be implemented. In particular, the paper focuses upon the relaitonship between Internet retailers and 'Mall Operators' who may be providing the retailers with specialist services. It also provides an overview of the main results to date of the MIMIC project.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
ID Code:14713
Deposited By:Professor Maurice Mulvenna
Deposited On:03 Aug 2010 11:22
Last Modified:03 Aug 2010 11:22

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