Analysis of Email Fraud detection using WEKA Tool

TL;DR

This paper explores email fraud detection using data mining techniques with the WEKA tool, highlighting methods to identify fraudulent emails while addressing privacy concerns.

Contribution

It demonstrates the application of WEKA for email fraud detection and discusses privacy considerations in data mining.

Findings

Effective detection of email fraud using WEKA

Highlights privacy challenges in email data mining

Provides a framework for practical email fraud analysis

Abstract

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 we must to implement the privacy of persons while working on practical data mining