Abstract

The Web-its resources and users-offers a wealth of information for data mining and knowledge discovery. Up to now, a great deal of work has been done applying data mining and machine learning methods to discover novel and useful knowledge on the Web. However, many techniques aim only at extracting knowledge for human users to view and use. Recently, more and more work addresses Web for knowledge that computer systems will use. You can apply such actionable knowledge back to the Web for measurable performance improvements. This special issue of IEEE Intelligent Systems features five articles that address the problem of actionable Web mining.

Date

January 1, 1970

Authors

Qiang Yang, Craig A Knoblock, Xindong Wu

Journal

IEEE Intelligent Systems

Volume

19

Issue

6

Pages

30-31

Publisher

IEEE