Website phishing is considered one of the crucial security challenges for the online
community due to the massive numbers of online transactions performed on a daily basis …

Abstract Machine learning (ML) is one of the intelligent methodologies that have shown
promising results in the domains of classification and prediction. One of the expanding areas …

Associative classification (AC) is a promising data mining approach that integrates
classification and association rule discovery to build classification models (classifiers). In the …

Breast cancer is the second most frequent human neoplasm that accounts for one quarter of
all cancers in females. Among the other types of cancers, it is considered to be the main …

Associative classifiers have proven to be very effective in classification problems.
Unfortunately, the algorithms used for learning these classifiers are not able to adequately …

Associative classification (AC) has been shown to outperform other methods of single-label
classification for over 20 years. In order to create rules that are both more precise and …

Organizational commitment has been studied extensively world over and hundreds of
research articles are available however a few studies address organizational commitment in …

With the remarkable increase in computer crimes–particularly Internet related crimes–digital
forensics become an urgent and a timely issue to study. Normally, digital forensics …

Fuzzy associative classification has not been widely analyzed in the literature, although
associative classifiers (ACs) have proved to be very effective in different real domain …

Associative classification is rule-based involving candidate rules as criteria of classification
that provide both highly accurate and easily interpretable results to decision makers. The …