Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
We study the problem of generating e cient, equivalent rewritings using views to compute the answer to a query. We take the closed-world assumption, in which views are materialize...
Event processing systems have wide applications ranging from managing events from RFID readers to monitoring RSS feeds. Consequently, there exists much work on them in the literat...
Walker M. White, Mirek Riedewald, Johannes Gehrke,...