文章基本信息

标题：Investigations into effectiveness of Gaussian and nearest mean classifiers for spam detection
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作者：Upasna Attri ; Harpreet Kaur ; Satinder Pal 等
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2011
卷号：2
期号：1
页码：1-5
出版社：Engg Journals Publications
摘要：This paper presents the results of investigations into the effectiveness of Gaussian and Nearest Mean Classifiers for SPAM detection. The results are in the form of traces of probability of error and time taken for classification. Since SPAM is increasingly becoming difficult to detect, so these automated techniques will help in saving lot of time and resources required to handle email messages.
关键词：Gaussian Mean; KDD; Nearest Mean; SPAM