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62
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DEXAW
2010
IEEE
172views Database» more  DEXAW 2010»
15 years 23 days ago
Monte Carlo Study of Taxonomy Evaluation
: Monte Carlo Study of Taxonomy Evaluation Alexander Ulanov, Georgy Shevlyakov, Nikolay Lyubomishchenko, Pankaj Mehra, Vladimir Polutin HP Laboratories HPL-2010-147 Taxonomy evalu...
Alexander Ulanov, Georgy Shevlyakov, Nikolay Lyubo...
90
Voted
CIKM
2009
Springer
15 years 3 months ago
A co-classification framework for detecting web spam and spammers in social media web sites
Social media are becoming increasingly popular and have attracted considerable attention from spammers. Using a sample of more than ninety thousand known spam Web sites, we found ...
Feilong Chen, Pang-Ning Tan, Anil K. Jain
WWW
2008
ACM
16 years 10 days 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, ...
CORR
2011
Springer
255views Education» more  CORR 2011»
14 years 3 months ago
Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering
This Search engine became omnipresent means for ingoing to the web. Spamming Search engine is the technique to deceiving the ranking in search engine and it inflates the ranking. ...
S. K. Jayanthi, S. Sasikala
89
Voted
WWW
2009
ACM
16 years 10 days ago
Link based small sample learning for web spam detection
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
Guanggang Geng, Qiudan Li, Xinchang Zhang