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：2014
卷号：5
期号：2
页码：101-104
出版社：Engg Journals Publications
摘要：The aim of this paper is to employ the principles of data mining and classify a new algorithm. In this method, we have proposed a new anti-spyware system (Spyware Detection), which is capable for classifying spyware files from legitimate files. Also we have evaluated the performance of our anti-spyware system with the existing anti- spywares in terms of overall accuracy (ACC) and false positive rate (FPR)... This paper describes the use of classi?cation trees and shows the methods of pruning them using the new Algorithm.The RIM algorithm which can be classified and compared with other algorithms like Na�ve Bayes, HNB (Hidden Na�ve Bayes) , Random Tree Algorithm The experimental results suggest that our method is better than the existing methods and shows the best result.
关键词：CSV �Comma separated Values; ARFF- Attribute RelationFile Format ; HNB-Hidden Na�ve Bayes; RFS- Reduced Feature Set
