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  1. University of Computer Studies, Yangon
  2. Conferences

Spam Filtering System using Case -Based Reasoning Approach

http://hdl.handle.net/20.500.12678/0000003965
http://hdl.handle.net/20.500.12678/0000003965
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Publication type
Article
Upload type
Publication
Title
Title Spam Filtering System using Case -Based Reasoning Approach
Language en
Publication date 2009-12-30
Authors
Win, Khin Sandar
Zaw, Wint Thida
Description
As the vast increases of the electronic mail (email) usages continue, spam (unsolicited bulk mail) has continued to grow because of it is a very inexpensive method of advertising. These unwanted emails can cause serious problem by filling up the email box and thereby leaving no space for ham (legitimate email) to pass through. Case- based filter can adapt to filter new spam by adding new spam case to the case base. Thus, case-based spam filters are suitable for spam filtering because of the dynamic nature of spam. In this paper, a spam filtering system is implemented by using case-based reasoning approach. K-nearest neighbor algorithm is used as case retrieval and case adaption. Edited nearest neighbor rule is used as case maintenance.
Keywords
Case-based Reasoning, Spam Filtering, Machine learning
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1680
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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