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.
|Title of host publication||Business & Work in the Information Society: New Technologies & Applications|
|Editors||J.-Y. Roger, B Stanford-Smith, P.T. Kidd|
|Publication status||Published - 1999|
Slater, D., Mulvenna, M., Büchner, A., & Moussy, L. (1999). Mining Marketing Intelligence from Internet Retailing Data: User Requirements & Business Process Description. In J-Y. Roger, B. Stanford-Smith, & P. T. Kidd (Eds.), Business & Work in the Information Society: New Technologies & Applications (pp. 63-69). IOS Press.