Analysis of Email Fraud detection using WEKA Tool
Tarushi Sharma, AmanPreet Kaur

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
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Taxonomy
TopicsImbalanced Data Classification Techniques · Advanced Steganography and Watermarking Techniques · Spam and Phishing Detection
