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2013 IEEE 13th International Conference on Data Mining (2001)
San Jose, California
Nov. 29, 2001 to Dec. 2, 2001
ISBN: 0-7695-1119-8
pp: 27
We show that the e-commerce domain can provide all the right ingredients for successful data mining. We describe an integrate architecture for supporting this integration. The architecture can dramatically reduce the pre-processing, cleaning, and data understanding effort often documented to take 80%of the time in knowledge discovery projects. We emphasize the need for data collection at the application server layer (not the web server)in order to support logging of data and metadata that is essential to the discovery process. We describe the data transformation bridges require from the transaction processing systems an customer event streams (e.g.,clickstreams) to the data warehouse. We detail the mining workbench, which needs to provide multiple views of the data through reporting, data mining algorithms, visualization, and OLAP. We conclude with a set of challenges.
Llew Mason, Zijian Zheng, Suhail Ansari, Ron Kohavi, "Integrating E-Commerce and Data Mining: Architecture and Challenges", 2013 IEEE 13th International Conference on Data Mining, vol. 00, no. , pp. 27, 2001, doi:10.1109/ICDM.2001.989497
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