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CCS
2010
ACM
13 years 6 months ago
@spam: the underground on 140 characters or less
In this work we present a characterization of spam on Twitter. We find that 8% of 25 million URLs posted to the site point to phishing, malware, and scams listed on popular blackl...
Chris Grier, Kurt Thomas, Vern Paxson, Michael Zha...
WEBI
2004
Springer
13 years 11 months ago
Co-training with a Single Natural Feature Set Applied to Email Classification
When dealing with information overload from the Internet, such as the classification of Web pages and the filtering of email spam, a new technique called cotraining has been shown...
Jason Chan, Irena Koprinska, Josiah Poon
KDD
2009
ACM
170views Data Mining» more  KDD 2009»
14 years 6 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
ADCS
2004
13 years 7 months ago
Co-Training on Textual Documents with a Single Natural Feature Set
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
Jason Chan, Irena Koprinska, Josiah Poon
CCS
2006
ACM
13 years 9 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...