Discovery of association rules is a prototypical problem in data mining. The current algorithms proposed for data mining of association rules make repeated passes over the databas...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
The conventional classification of inter-instruction dependencies (data, anti and output dependencies) provides a basic scheme for the analysis of pipeline hazards in pipelined in...
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
We propose a software development method for enterprise applications that combines the use of the structural concepts provided by problem frames, and the use of the UML notation. ...
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...