Sciweavers

19 search results - page 4 / 4
» Content based SMS spam filtering
Sort
View
140
Voted
AAAI
2012
13 years 6 months ago
Discovering Spammers in Social Networks
As the popularity of the social media increases, as evidenced in Twitter, Facebook and China’s Renren, spamming activities also picked up in numbers and variety. On social netwo...
Yin Zhu, Xiao Wang, ErHeng Zhong, Nathan Nan Liu, ...
158
Voted
CEAS
2008
Springer
15 years 6 months ago
Detecting Known and New Salting Tricks in Unwanted Emails
Spam and phishing emails are not only annoying to users, but are a real threat to internet communication and web economy. The fight against unwanted emails has become a cat-and-mo...
André Bergholz, Gerhard Paass, Frank Reicha...
109
Voted
WWW
2006
ACM
16 years 4 months ago
Detecting semantic cloaking on the web
By supplying different versions of a web page to search engines and to browsers, a content provider attempts to cloak the real content from the view of the search engine. Semantic...
Baoning Wu, Brian D. Davison
138
Voted
KDD
2009
ACM
170views Data Mining» more  KDD 2009»
16 years 4 months ago
Genre-based decomposition of email class noise
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
Aleksander Kolcz, Gordon V. Cormack