Date: Wed, 1 Sep 1999 07:59:41 -0400 (EDT) From: Foster John Provost foster@Basit.COM Subject: CFP: E-commerce and Data Mining Call For Papers E-Commerce and Data Mining Special issue of the journal Data Mining and Knowledge Discovery Guest editors: Ronny Kohavi and Foster Provost Will electronic commerce be the killer app for data mining? There are good arguments that it may. E-commerce sites collect massive amounts of data on customer purchases, browsing patterns, usage times, and preferences. Sites also can collect information on competitors' offerings and prices. They can adjust their assortments, prices, and promotions quickly and dynamically, based on changing trends and personalization rules. Because e-businesses implement closed-loop computerized solutions, many of the traditional barriers to the effective application of data mining are significantly lower, such as access to data, data transformations, process automation, and timeliness of discoveries. As our understanding of data mining has improved, the core technologies are being deployed with specific goals in mind, and often as components of larger systems. We are moving along the technology adoption lifecycle, crossing Moore's "chasm" from the early adopters to the early majority. With this shift, solutions showing clear return on investment (ROI) now become critical. This special issue of the journal Data Mining and Knowledge Discovery is dedicated to data mining, knowledge discovery, and e-business. Submission deadline: 16 Nov 1999 Acceptance notification: 22 Feb 2000 For full details and Submission Requirements see http://robotics.stanford.edu/~ronnyk/ecommerce-dm/ Specific questions and clarifications should be sent to ecommerce-dm@cs.stanford.edu
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