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 …

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

In data mining, a rule-based classification approach called Associative Classification (AC)
normally builds accurate classifiers from supervised learning data sets. It extracts “If-Then” …

Associative classification models are based on two different data mining paradigms, namely
pattern classification and association rule mining. These models are very popular for …

In our everyday life, we may use email for personal and professional matters. Yet, email
benefits have been bedeviled with the remarkable use of annoying, harmful, and fraudulent …

The behavioral analysis of smart devices plays a key role in enforcing security for IoT
environments. In particular, anomalous patterns can be targeted in the behavior of smart …

Utilising association rule discovery to learn classifiers in data mining is known as
Associative Classification (AC). In the last decade, AC algorithms proved to be effective in …

The imminent threat that phishing websites poses is a major concern for internet users
worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy …

A valuable small subset strategically selected from massive online reviews is beneficial to
improve consumers' decision-making efficiency in e-commerce. Existing review selection …

Clustering XML documents by structure is the task of grou** them by common structural
components. Hitherto, this has been accomplished by looking at the occurrence of one …