The Third International Workshop

Mining Multiple Information Sources

In conjunction with The IEEE International Conference on Data Mining (ICDM 2009)

December 6 2009, Miami, USA

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

The aim of this 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 Multi-source Environments
  2. Harnessing Complex Data Relationship
  3. Integrative and Cooperative Mining
  4. Differentiation and Correlation
  5. Stream data mining algorithms
  6. Interactive data mining systems


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




Paper Types:

Research papers (8 pages)

Application papers (including data track paper)


Paper submission site

Submission deadline: July 17 2009 (late submission can be sent to the workshop co-chairs directly)