Searching for authors named "Georgios Sakkis" – sorted by Relevance.
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A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists
- This paper presents an extensive empirical evaluation of memory-based learning in the context of anti-spam filtering, a novel cost-sensitive application of text categorization that attempts to identify automatically unsolicited commercial messages that flood mailboxes. Focusing on anti-spam filterin
- Cited by 25 (2 self) – Add To MetaCart
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Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
- We investigate the performance of two machine learning algorithms in the context of anti-spam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a need for reliable anti-spam filters. Filters of this type have so far been based mostly on keyword patterns that are constr
- Cited by 45 (3 self) – Add To MetaCart
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Stacking classifiers for anti-spam filtering of e-mail
- We evaluate empirically a scheme for combining classifiers, known as stacked generalization, in the context of anti-spam filtering, a novel cost-sensitive application of text categorization. Unsolicited commercial email, or “spam”, floods mailboxes, causing frustration, wasting bandwidth, and exposi
- Cited by 25 (0 self) – Add To MetaCart

