LonW 2013 - Special Session on Learning on the Web
Topics/Call fo Papers
Special Session Proposal: Special Session on Learning on the Web (LW)
Proposers:
Xue-wen Chen
Professor and Chair, Department of Computer Science, Wayne State University
5057 Woodward Ave., Detroit, MI 48202
Tel: (313)577-2478; Email: xwchen-AT-wayne.edu
Bo Luo
Assistant Professor, Department of EECS, The University of Kansas
2044 Eaton Hall, 1520 West 15th St, Lawrence KS, 66045
Tel: 785-864-7393; email: bluo-AT-ku.edu
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. The special session has been held in ICMLA 2011 and 2012. A good number of submissions/attendees have been attracted in both special sessions.
Proposers:
Xue-wen Chen
Professor and Chair, Department of Computer Science, Wayne State University
5057 Woodward Ave., Detroit, MI 48202
Tel: (313)577-2478; Email: xwchen-AT-wayne.edu
Bo Luo
Assistant Professor, Department of EECS, The University of Kansas
2044 Eaton Hall, 1520 West 15th St, Lawrence KS, 66045
Tel: 785-864-7393; email: bluo-AT-ku.edu
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. The special session has been held in ICMLA 2011 and 2012. A good number of submissions/attendees have been attracted in both special sessions.
Other CFPs
- Special Session on Machine Learning Applications in Education
- Special Session on Machine Learning Applications in Software Engineering
- Special Session on Machine Learning Challenges in Cyber Security Applications
- Special Session on Machine Learning for Predictive Models
- Special Session on Machine Learning for Wireless Sensor Networks
Last modified: 2013-06-27 17:05:51