Data Mining in eCommerce

From DML

E-commerce greatly facilitates and enhances the level of interaction between a retailer and its customers, thus offering the potential for smarter marketing through thoughtful site design and analytics. The full benefit of the emerging and growing Web channel belongs to those who leverage the rich information it provides.

We have setup a rich datawarehousing environment for one of our industrial partners, which has enabled the execution and effective tracking of sophisticated marketing campaigns. We are also using it to mine both clickstream and purchase data to uncover customer segments and predictive models that may be actioned to improve revenue further.

[edit] Publications

Smith, M., Wenerstrom, B., Giraud-Carrier, C., Lawyer, S. and Liu, W. (2007). Personalizing e-Commerce with Data Mining. In E-Service Intelligence: Methodologies, Technologies and Applications, Lu, J., Ruan, D. and Zhang, G. (Eds.), Studies in Computation Intelligence Series, Vol. 37, Springer, Chapter 12.

Smith, M. and Giraud-Carrier, C. (2005). Stages of Knowledge Discovery in Websites. In Proceedings of the First International Workshop on E-Service Intelligence at the Eighth Joint Conference on Information Sciences.