Formal concept analysis has become an active field of study for data analysis and knowledge discovery. A formal concept C is determined by its extent (the set of objects that fall...
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...
Program instrumentation, inserted either before or during execution, is rapidly becoming a necessary component of many systems. Instrumentation is commonly used to collect informa...
Although unstructured mesh algorithms are a popular means of solving problems across a broad range of disciplines—from texture mapping to computational fluid dynamics—they ar...
Brian S. White, Sally A. McKee, Bronis R. de Supin...
Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver ...