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...
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
1 This study evaluates the robustness of established computational indices used to assess text relatedness in userlanguage. The original User-Language Paraphrase Corpus (ULPC) was ...
Adam M. Renner, Philip M. McCarthy, Danielle S. Mc...
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
—It is common for large and complex organizations to maintain repositories of business process models in order to document and to continuously improve their operations. Given suc...
Remco M. Dijkman, Marlon Dumas, Boudewijn F. van D...