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CEAS
2007
Springer
15 years 10 months ago
Asymmetric Gradient Boosting with Application to Spam Filtering
In this paper, we propose a new asymmetric boosting method, Boosting with Different Costs. Traditional boosting methods assume the same cost for misclassified instances from di...
Jingrui He, Bo Thiesson
ICML
2009
IEEE
16 years 5 months ago
Bayesian clustering for email campaign detection
We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...
Peter Haider, Tobias Scheffer
SIGUCCS
2004
ACM
15 years 9 months ago
Spam software evaluation, training, and support: fighting back to reclaim the email inbox
This paper explains two projects dealing with spam recently completed at Iowa State University (ISU). The first project was undertaken by a team composed of members of the campus ...
Jeff Balvanz, Don Paulsen, Joe Struss
WAIM
2010
Springer
15 years 2 months ago
Detecting Comment Spam through Content Analysis
In the Web 2.0 eras, the individual Internet users can also act as information providers, releasing information or making comments conveniently. However, some participants may spre...
Congrui Huang, Qiancheng Jiang, Yan Zhang
IADIS
2004
15 years 5 months ago
Fighting spam: motivating an account-based approach
Spam as unsolicited e-mail to a large number of recipients is known to become an increasingly disturbing and costly issue of electronic business and Internet traffic. Mainly techn...
Guido Schryen