Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
We present LiveRAC, a visualization system that supports the analysis of large collections of system management timeseries data consisting of hundreds of parameters across thousan...
Peter McLachlan, Tamara Munzner, Eleftherios Kouts...
Our ability to express and accurately assess emotional states is central to human life. The present study examines how people express and detect emotions during text-based communi...
Jeffrey T. Hancock, Christopher Landrigan, Courtne...
Developments in networked digital imaging promise to substantially affect the near-universal experience of personal photography. Designing technology for image capture and sharing...
Nancy A. Van House, Marc Davis, Morgan Ames, Megan...