The goal of the track is to provide a forum for presentation and discussion of most recent advances in tackling all these challenges, both emerging and mature ideas, in the methodologies and techniques for collaborative data mining and knowledge discovery in databases, and to identify the short- and long-term research directions in the field.

Paper submissions should be related but not limited to any of the following topics:

  • Knowledge modeling for communication, information exchange and collaboration in Data Mining
  • Support systems for collaborative Data Mining process specification and execution
  • Methodologies and Environments for collaborative Data Mining
  • Data Mining workflow systems
  • Versioning management of Data Mining processes and data
  • Mining from multiple heterogeneous information sources
  • Data integration and fusion
  • Trust, Security and Privacy-aware KDD
  • Integration of Data Mining algorithms and models
  • Cooperative Learning and cooperative Data Mining algorithms
  • Semantic support for collaborative Data Mining
  • Data Mining for Social Networking and P2P systems
  • Data Mining for virtual organizations
  • Data Mining techniques for collaborative working
  • Case studies and applications