Association and classification are two important tasks in data mining. Literature abounds
with works that unify these two techniques. This paper presents a new algorithm called …

Phishing websites are fake websites that are created by dishonest people to mimic
webpages of real websites. Victims of phishing attacks may expose their financial sensitive …

Associative classification (AC) is a new, effective supervised learning approach that aims to
predict unseen instances. AC effectively integrates association rule mining and …

Phishing is an e-mail fraud method in which the perpetrator sends out legitimate-looking
email in an attempt to gather personal and financial information from any online users. The …

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 …

Website phishing is one of the crucial research topics for the internet community due to the
massive number of online daily transactions. The process of predicting the phishing activity …

Generating multi-label rules in associative classification (AC) from single label data sets is
considered a challenging task making the number of existing algorithms for this task rare …

Phishing is a criminal technique employing both social engineering and technical
subterfuge to steal consumer's personal identity data and financial account credential. The …

Phishing website is a very complex issue to understand and to analyze, since it is joining
technical and social problem with each other for which there is no known single silver bullet …

Impacting businesses across the world, phishing remains today to be a serious problem:
due to anonymous access to personal details, businesses and their consumers deal with the …