Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Our work is based on the pioneering work in sphere separators done by Miller, Teng, Vavasis et al, [8, 12], who gave efficient static (fixed input) algorithms for finding sphere ...
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
: Traditional state modeling techniques have several limitations. One of these is the reduced ability to model a large number of variables simultaneously. Another limitation is tha...
Gregory Vert, Sergiu M. Dascalu, Frederick C. Harr...