ICMLA 2011 Special Session on
Learning on the Web (LW)
Over the last several years, we have seen an explosion of information published over the World Wide Web, including Web-based forums, discussion groups, and social networks. This abundant amount of available information 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 applications (information retrieval, data mining, knowledge discovery), although not fully explored, have attracted increasing attention.
The aim of the special session is to provide an international forum of scientific research and development to explore the fundamental interactions between machine learning and information over the web. 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'11 paper submission page). Accepted papers will be published in the conference proceedings and authors are required to present their paper(s) in the conference.
Bo Luo, University of Kansas, USA (firstname.lastname@example.org)
Xuewen Chen, University of Kansas, USA (email@example.com)