We address the issue of compiling ML pattern matching to compact and efficient decisions trees. Traditionally, compilation to decision trees is optimized by (1) implementing decis...
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detecti...
Abstract-- Despite of advances in machine learning technologies, a schema matching result between two database schemas (e.g., those derived from COMA++) is likely to be imprecise. ...
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...
—Network Intrusion Detection System (NIDS) is a system which can detect network attacks resulted from worms and viruses on the Internet. An efficient pattern matching algorithm p...