Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
We collected file system content data from 857 desktop computers at Microsoft over a span of 4 weeks. We analyzed the data to determine the relative efficacy of data deduplication...
tions, allowing interlinking of abstracting and indexing databases with full-text sources, and providing the ability to search across multiple databases simultaneously. Publishers ...
Much effort has been expended in recent years to create large sets of hash codes from known files. Distributing these sets has become more difficult as these sets grow larger. Mea...
Paul F. Farrell Jr., Simson L. Garfinkel, Douglas ...