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Naive Bayes spam filtering
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#	Item
1	Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-12-28 22:49:42 Computing Recommender systems Economy Cyberspace Spamming Robust collaborative filtering Email spam Markov chain Collaborative filtering Spam Bipartite graph Naive Bayes spam filtering
2	Spamato – An Extendable Spam Filter System∗ Keno Albrecht, Nicolas Burri, Roger Wattenhofer Computer Engineering and Networks Laboratory ETH Zurich, 8092 Zurich, Switzerland {kenoa, burri, wattenhofer}@tik.ee.ethz.c Add to Reading List Source URL: disco.ethz.ch Language: English - Date: 2014-09-26 08:36:31 Spam filtering Spamming Anti-spam techniques Email spam SpamAssassin Email filtering Whitelist Email Automated whitelist Outlook.com Naive Bayes spam filtering
3	Data Compression Models for Prediction and Classification Gordon CORMACK1 University of Waterloo, Waterloo, Canada Abstract. The crux of data compression is to process a string of bits in order, predicting each subsequen Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2007-12-14 09:36:19 Spam filtering Spamming Computing Cyberspace Email Cybercrime Email spam Anti-spam techniques Spam Naive Bayes spam filtering
4	Adaptive Spam Filtering Using Only Naive Bayes Text Classifiers Aris Kosmopoulos Georgios Paliouras Add to Reading List Source URL: www.aueb.gr Language: English - Date: 2008-10-01 13:55:31
5	Spam Filtering with Naive Bayes – Which Naive Bayes? Vangelis Metsis † Institute of Informatics and Add to Reading List Source URL: www.aueb.gr Language: English - Date: 2006-10-12 08:00:43
6	Spam Filtering with Naive Bayes – Which Naive Bayes? Vangelis Metsis , Ion Androutsopoulos and 2 Georgios Paliouras 1,2 Add to Reading List Source URL: www.aueb.gr Language: English - Date: 2006-10-12 08:00:44
7	Naive Bayes Spam Filtering Using Word-Position-Based Attributes Johan Hovold Department of Computer Science Lund University Box 118, Lund, Sweden Add to Reading List Source URL: ceas.cc Language: English - Date: 2009-11-09 01:40:13
8	Using old Spam and Ham Samples to Train Email Filters Jose-Marcio Martins da Cruz Gordon V. Cormack Centre de Calcul et Systemes d’Information Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2009-05-28 18:49:40 Spam filtering Spamming Computing Cyberspace Email spam Anti-spam techniques Spam Bogofilter Naive Bayes classifier Naive Bayes spam filtering
9	A Language Model Approach to Spam Filtering Ben Medlock Cambridge University Computer Laboratory William Gates Building JJ Thomson Avenue Cambridge, CB3 OFD Add to Reading List Source URL: www.benmedlock.co.uk Language: English - Date: 2007-12-07 05:56:56 Spam filtering Computing Computational linguistics Statistical natural language processing N-gram Language model Naive Bayes classifier Pattern recognition Interpolation Natural language processing Statistics Science
10	An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus Ben Medlock Cambridge University Computer Laboratory William Gates Building JJ Thomson Avenue Add to Reading List Source URL: www.benmedlock.co.uk Language: English - Date: 2007-12-07 05:59:37 Science Natural language processing Machine learning Statistical classification Email Email filtering Naive Bayes classifier Language model N-gram Statistics Spam filtering Computing