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CEAS
2008
Springer
13 years 7 months ago
Filtering Email Spam in the Presence of Noisy User Feedback
Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods wh...
D. Sculley, Gordon V. Cormack
PAKDD
2009
ACM
120views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Detecting Link Hijacking by Web Spammers.
Abstract. Since current search engines employ link-based ranking algorithms as an important tool to decide a ranking of sites, Web spammers are making a significant effort to man...
Masaru Kitsuregawa, Masashi Toyoda, Young-joo Chun...
MOBISEC
2009
Springer
14 years 9 days ago
Filtering SPAM in P2PSIP Communities with Web of Trust
Spam is a dominant problem on email systems today. One of the reasons is the lack of infrastructure for security and trust. As Voice over IP (VoIP) communication becomes increasing...
Juho Heikkilä, Andrei Gurtov
WWW
2008
ACM
14 years 6 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
SIGIR
2012
ACM
11 years 8 months ago
Fighting against web spam: a novel propagation method based on click-through data
Combating Web spam is one of the greatest challenges for Web search engines. State-of-the-art anti-spam techniques focus mainly on detecting varieties of spam strategies, such as ...
Chao Wei, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun...