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» Efficient Spam Email Filtering using Adaptive Ontology
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PRDC
2005
IEEE
13 years 11 months ago
A Multi-Faceted Approach towards Spam-Resistible Mail
As checking SPAM became part of our daily life, unsolicited bulk e-mails (UBE) have become unmanageable and intolerable. Bulk volume of spam e-mails delivering to mail transfer ag...
Ming-Wei Wu, Yennun Huang, Shyue-Kung Lu, Ing-Yi C...
HAIS
2011
Springer
12 years 8 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
CEAS
2008
Springer
13 years 7 months ago
Exploiting Transport-Level Characteristics of Spam
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
Robert Beverly, Karen R. Sollins
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
14 years 5 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek
DEXAW
2010
IEEE
149views Database» more  DEXAW 2010»
13 years 6 months ago
Using Progressive Filtering to Deal with Information Overload
Abstract-- In the age of Web 2.0 people organize large collections of web pages, articles, or emails in hierarchies of topics, or arrange a large body of knowledge in ontologies. T...
Andrea Addis, Giuliano Armano, Eloisa Vargiu