The Ninth IEEE International Conference on Machine
Learning and Applications (ICMLA 2010)
Special Session on
Learning for Web-based Knowledge Discovery (LWKD)
Over the last several years, the amount of information published in the World Wide Web by Web-based communities, including forums, discussion groups, and social networks has increased rapidly. This information explosion presents both unique challenges and unprecedented opportunities for computer scientists to discover useful knowledge from the Web. Among a variety of Web-mining topics, the development and application of machine learning techniques for Web-based knowledge discovery, although not fully explored, have attracted increasing attention.
The aim of LWKD 2010 is to provide an international forum of scientific research and development to explore the fundamental interactions between machine learning and web-based knowledge discovery. Topics of interest include, but are not limited to:
High-quality papers with original work are solicited. Paper submissions should be limited to a maximum of 8 pages in the IEEE 2-column format (please refer to the author guidelines on the ICMLA'10 paper submission page). Accepted papers will be published in the conference proceedings and authors are required to present their paper(s) in the conference. A selected numbers of papers presented at LWKD'10 will be included, in an expanded and revised form, in a special issue of the International Journal of Granular Computing, Rough Sets and Intelligent Systems.
Xuewen Chen, University of Kansas,
Bo Luo, University of Kansas, USA (firstname.lastname@example.org)