Using online linear classifiers to filter spam emails
نویسندگان
چکیده
منابع مشابه
Online Decision-Making in Receiving Spam Emails Among College Students
Decision-making in the real world has been extensively studied, whereas decision-making in the cyber world is relatively unknown. The present study investigated how email users made their decisions to read or delete spam emails, unsolicited junk emails sent indiscriminately, when they received various kinds of emails in the everyday life. An experimental survey was designed to manipulate two va...
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Spam filtering, as a key problem in electronic communication, has drawn significant attention due to increasingly huge amounts of junk email on the Internet. Content-based filtering is one reliable method in combating with spammers’ changing tactics. Naı̈ve Bayes (NB) is one of the earliest content-based machine learning methods both in theory and practice in combating with spammers, which is ea...
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In the TREC 2005 Spam Evaluation Track, a number of popular spam filters – all owing their heritage to Graham’s A Plan for Spam – did quite well. Machine learning techniques reported elsewhere to perform well were hardly represented in the participating filters, and not represented at all in the better results. A non-traditional technique Prediction by Partial Matching (PPM) – performed excepti...
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ژورنال
عنوان ژورنال: Pattern Analysis and Applications
سال: 2006
ISSN: 1433-7541,1433-755X
DOI: 10.1007/s10044-006-0045-7