This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
First IEEE International Conference on Data Mining (ICDM'01)
Integrating E-Commerce and Data Mining: Architecture and Challenges
San Jose, California
November 29-December 02
ISBN: 0-7695-1119-8
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.
Citation:
Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng, "Integrating E-Commerce and Data Mining: Architecture and Challenges," icdm, pp.27, First IEEE International Conference on Data Mining (ICDM'01), 2001
Usage of this product signifies your acceptance of the Terms of Use.