Analysis of Email Fraud Detection Using WEKA Tool

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Provided by: IJCTT-International Journal of Computer Trends and Technology
Topic: Security
Format: PDF
Data mining is also being useful to give solutions for invasion finding and auditing. While data mining has several applications in protection, there are also serious privacy fears. Because of email mining, even inexperienced users can connect data and make responsive associations. Therefore the authors must to implement the privacy of persons while working on practical data mining. Using K-mean clustering algorithm and weka tool they implemented the technique of Email-mining. The WEKA tool calls the .eml file format into text converter and then processed the whole data into preprocessor output in form of .csv file format.
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