AISL is a five year MURI project sponsored by the Air Force Office of Scientific Research focused on developing an integrated framework to support assured information sharing. This collaborative research project comprises researchers from UMBC, Purdue University, and the Universities of Illinois, Michigan, Texas at Dallas, and Texas at San Antonio.
Latest Resource Additions
- Incentive and Trust Issues in Assured Information Sharing
- Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams
- A Local Distributed Peer-to-Peer Data Mining Algorithm Using Multi-Party Optimization Based Privacy Preservation
- Classification of Software Behaviors for Failure Detection: A Discriminative Pattern Mining Approach
- Exploring Social Tagging Graph for Web Object Classification
© 2009 UMBC, Purdue University, and the Universities of Illinois, Michigan, Texas at Dallas, and Texas at San Antonio.
