منابع مشابه
Stacking Classifiers for Anti-Spam Filtering of E-Mail
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in fields as diverse as machine learning, cryptography, natural language processing, systems, security, and human computer-interaction, have been published about spam and e-mail. The Conference on E-mail and Anti-Spam was the first to bring together researchers from these varied fields to a single academic conference where they could exchange ideas and compare techniques. Many topics were cover...
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Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...
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We provide a model to study the effects of three methods of fighting spam mail, namely (1) increasing the cost of mailing messages, (2) filters, and (3) a do-not-spam registry, on the number of spam messages that users receive, and on the efficiency of the internet (measured by the total number of spam messages spammers send).
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ژورنال
عنوان ژورنال: The Journal of The Institute of Electrical Engineers of Japan
سال: 2008
ISSN: 1340-5551,1881-4190
DOI: 10.1541/ieejjournal.128.223