Personal and business users prefer to use e-mail as one of the crucial sources of
communication. The usage and importance of e-mails continuously grow despite the …

Accountants and auditing firms are frequent phishing targets because of the proximity to
organizational resources. Since phishing typically is done using emails, text analysis is used …

Due to the high popularity of Twitter, spammers tend to favor its use in spreading their
commercial messages. In the context of detecting twitter spams, different statistical and …

This paper investigates the impact of using different indexing approaches (full-word, stem,
and root) when classifying Arabic text. In this study, the naïve Bayes classifier is used to …

The amount of data in our society has been exploding in the era of big data today. In this
paper, we address several open challenges of big data stream classification, including high …

This paper proposes a hybrid solution of spam email classifier using context based email
classification model as main algorithm complimented by information gain calculation to …

The amount of data in our society has been exploding in the era of big data. This article aims
to address several open challenges in big data stream classification. Many existing studies …

The amount of data in our society has been exploding in the era of big data today. In this
paper, we address several open challenges of big data stream classification, including high …

Text classification performance is considerably influenced by a factor selected from the text
and presented to the classification algorithm: the feature type. Character N-grams, word …

E-mail is one of the most common communication methods among people on the Internet.
However, the increase of e-mail misuse/abuse has resulted in an increasing volume of spam …