Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Computer programming is one of the most essential skills which each graduate has to acquire. However, there are reports that they are unable to write a program well. Researches in...
Mohamad Farhan Mohamad Mohsin, Mohd Helmy Abd Waha...
Associative classification has aroused significant attention recently and achieved promising results. In the rule ranking process, the confidence measure is usually used to sort t...