Spam Detection Using FICANEURO Approach
Keywords:
Neural Network, Individual Component Analysis, Principal Component AnalysisAbstract
Spam detection is required to deal with the harmful effect of spam mail on user directly or indirectly. The directly effect can be in term of time, storage space and network bandwidth and indirectly effect can be defined in term of privacy and security. Several technical solutions like commercial and open source product have been used to alleviate the effect of this issue. We use the FICANEURO approach for the spam detection in this paper. It is combination of Advanced featured of Individual Component Analysis and Neural Network. The approach is mainly based on content based filtering. The result of this approach enhances the accuracy with increase in file size.
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