期刊名称：BVICAM's International Journal of Information Technology
印刷版ISSN：0973-5658
出版年度：2009
卷号：1
期号：1
出版社：Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要：In this research paper we have developed NFCKE text categorization systems. Text classification has many applications, such as fraud detection, automatic email classification and web-page categorization. The results show that NFCKE does better than other widely used techniques. The new framework for document classification is efficient and accurate. Our experiments indicate that the accuracy of existing method increase by using this approach. The final goal is achieving high performance and eventually increasing classification accuracy.
关键词：Text mining; classification; Binary Matrix Model (BMM).
