Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Educational media mining is the process of converting raw media data from educational systems to useful information that can be used to design learning systems, answer research qu...
A macro-operator is an integrated operator consisting of plural primitive operators and enables a problem solver to solve more efficiently. However, if a learning system generates...
As massive document repositories and knowledge management systems continue to expand, in proprietary environments as well as on the Web, the need for duplicate detection becomes i...
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...