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» Efficient Spam Email Filtering using Adaptive Ontology
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ITNG
2007
IEEE
13 years 11 months ago
Efficient Spam Email Filtering using Adaptive Ontology
Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during th...
Seongwook Youn, Dennis McLeod
IMECS
2007
13 years 6 months ago
On Extendable Software Architecture for Spam Email Filtering
—The research community and the IT industry have invested significant effort in fighting spam emails. There are many different approaches, ranging from white listing, black listi...
Wanli Ma, Dat Tran, Dharmendra Sharma
SAC
2009
ACM
13 years 9 months ago
Spam decisions on gray e-mail using personalized ontologies
E-mail is one of the most common communication methods among people on the Internet. However, the increase of e-mail misuse/abuse has resulted in an increasing volume of spam e-ma...
Seongwook Youn, Dennis McLeod
CEAS
2006
Springer
13 years 8 months ago
An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus
Motivated by current efforts to construct more realistic spam filtering experimental corpora, we present a newly assembled, publicly available corpus of genuine and unsolicited (s...
Ben Medlock
CAIP
2007
Springer
134views Image Analysis» more  CAIP 2007»
13 years 8 months ago
An Efficient Method for Filtering Image-Based Spam E-mail
Spam e-mail with advertisement text embedded in images presents a great challenge to anti-spam filters. In this paper, we present a fast method to detect image-based spam e-mail. U...
Ngo Phuong Nhung, Tu Minh Phuong