The Fourth International Workshop on

Mining Multiple Information Sources

In conjunction with The IEEE International Conference on Data Mining (ICDM 2010)

December 14 2010, Sydney, Australia

[Home] [Call For Papers]  [Accepted Papers] [Workshop Program]  [Program Committee]

The aim of the fourth MMIS workshop is to bring together data mining experts to advance research on pattern discovery from multiple information sources, and identify current needs for such purposes. Representative issues to be addressed include but are not limited to:  

  1. Machine learning in multiple source environments
  2. Multiple information source data mining applications and case studies
  3. Harnessing complex data relationship
  4. Integrative and cooperative mining
  5. Multiple information source differentiation and correlation
  6. Stream data mining algorithms


Selected workshop papers will be invited for journal publication in the Neurocomputing, Special Issue on Data Mining Applications and Case Study (approved).



Workshop Co-Chairs:

Ruoming Jin

Kent State University, USA

Xingquan Zhu

University of Technology, Sydney, Australia

Florida Atlantic University, USA

Haixun Wang

Microsoft Research Asia, China

Zoran Obradovic

Temple University, USA

Paper Types:

Research papers (8 pages)


Paper submission site

Extended submission deadline: August 13 2010

Notification of acceptance: September 20 2010