The purpose of this research is to propose an appropriate classification approach to improving the effectiveness of spam filtering on the issue of skewed ...
This paper presents a new spam filtering strategy that 1) uses a practical entropy coding technique, Huffman coding, to dynamically encode the feature space of ...
A filtering method which fuses text, image and other multi-modal features to build multiple classifiers is proposed, and Experimental results on TREC ...
To filter spam from legitimate emails, automatic classification approaches using text mining techniques are proposed. This kind of approaches, however, often ...
A cluster-based classification method ... clustering emails in each class (spam and legitimate emails) ... The result of classification under skewed class ...
TL;DR: This work proposes using a statistical, but non-probabilistic classifier based on the Winnow algorithm, and introduces orthogonal sparse bigrams (OSB) as ...
This research is thus to propose an appropriate classification approach to alleviating the problems of skewed class distributions and drifting concepts. A ...
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This research is thus to propose an appropriate classification approach to alleviating the problems of skewed class distributions and drifting concepts. A ...
Abstract— Spam email, is the practice of frequently sending unwanted email messages, usually with commercial content, in large quantities to a set of ...
A filtering method which fuses text, image and other multi-modal features to build multiple classifiers is proposed, and Experimental results on TREC ...