Review: A review of machine learning approaches to Spam filtering
作者： Thiago S. Guzella , Walmir M. Caminhas
DOI: 10.1016/J.ESWA.2009.02.037
关键词:
摘要: … In this paper, we present a comprehensive review of recent developments in the application of machine learning algorithms to Spam filtering, focusing on both textual- and image-based …
elsevier.com
sci-hub.se 参考文章(118)
William Arnold, Ted Markowitz, Richard Segal, Fast Uncertainty Sampling for Labeling Large E-mail Corpora. conference on email and anti-spam. ,(2006)
Richard Segal, Combining Global and Personal Anti-Spam Filtering. conference on email and anti-spam. ,(2007)
Rémi Gilleron, Marc Tommasi, François Denis, Text Classification from Positive and Unlabeled Examples international conference information processing. ,(2002)
Gabriel Wachman, David Sculley, Relaxed Online SVMs in the TREC Spam Filtering Track. text retrieval conference. ,(2007)
Ion Androutsopoulos, Eirinaios Michelakis, E. Michelakis, Georgios Paliouras, Learning to Filter Unsolicited Commercial E-Mail ,(2006)
Henry Stern, A Survey of Modern Spam Tools. conference on email and anti-spam. ,(2008)
Moses Charikar, William K. Josephson, Qin Lv, Kai Li, Zhe Wang, Filtering Image Spam with Near-Duplicate Detection. conference on email and anti-spam. ,(2007)
Pranam Kolari, Akshay Java, Tim Finin, Anupam Joshi, Tim Oates, Detecting spam blogs: a machine learning approach national conference on artificial intelligence. pp. 1351- 1356 ,(2006) , 10.13016/M27M0444D
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach, Learning Fast Classifiers for Image Spam. conference on email and anti-spam. ,(2007)
Giorgio Fumera, Battista Biggio, Fabio Roli, Ignazio Pillai, Improving Image Spam Filtering Using Image Text Features. conference on email and anti-spam. ,(2008)