A new feature selection algorithm based on binomial hypothesis testing for spam filtering

Content-based spam filtering is a binary text categorization problem. To improve the performance of the spam filtering, feature selection, as an important and indispensable means of text categorization, also plays an important role in spam filtering. We proposed a new method, named Bi-Test, which ut...

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Veröffentlicht in:	Knowledge-Based Systems Jg. 24; H. 6; S. 904 - 914
Hauptverfasser:	Yang, Jieming, Liu, Yuanning, Liu, Zhen, Zhu, Xiaodong, Zhang, Xiaoxu
Format:	Journal Article
Sprache:	Englisch Japanisch
Veröffentlicht:	Elsevier B.V 01.08.2011 Elsevier BV
Schlagworte:	Algorithms Binomial distribution Binomial hypothesis testing Email Feature selection Spam filtering Spamming Text categorization Binomial distribution Feature selection Binomial hypothesis testing Spam filtering Text categorization
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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