… E-mail spam filtering is a compound task, and in general we follow the methods elaborated
… is indeed spam or ham. The element that enables this research is a dataset selected as a …

… Because of the changing nature of spam, a anti-spam filtering software using some machine
… should make the retrieval of similar instances easier and faster. In the operation mode, e-…

… is the fastest feature selection technique, being almost twice as fast as the Latent Dirichlet
Allocation and up to four times faster than our Semantic-based Feature Selection method. The …

… Our filtering system is enhanced by the ability to modify the existing feature set and … feature
selection function and the development of an incremental personalized e-mail spam filtering …

… spam filter based on this Bloom filter extension. The HAI filter is used in the same way as
normal Bayesian filters: … HAI performance with well-selected Bloom filter parameters. The results …

… Furthermore, we introduce a new feature selection algorithm … This paper makes image
spam classification practical by … patible with a variety of anti-spam filters, such as SpamAssasin. …

… the feature selection to allow the system to adapt to newly, previously unknown patterns.
Moreover, Graham’s model tends to be faster for both training, as feature selection is typically …

… spam filtering is a binary text categorization problem. To improve the performance of the spam
filtering, feature selection… fast approach to the feature selection is the filtering approach [12]…

… a greedy strategy that may not select the optimal subset. However, in practice, many pool-based
active learning methods also employ a version of greedy selection, as constructing the …

… selection, which can reduce the dimensionality of vector space without sacrificing the
performance of the classifier, is commonly used in spam filtering. … hybrid feature selection method, …