Fraud Detection in E-commerce Transactions: A Machine Learning Perspective

Author:

Manoharan Geetha1,Ali S Dada Noor Hayath2,Sathe Dr. Manoj3,Karthik A4,Nagpal Amandeep5,Sidana Ajay6

Affiliation:

1. SR University, School of Business,Warangal,Telangana,India

2. Ballari Institute of Technology and Management,Master of Computer Applications,Ballari,Karnataka State

3. PES Modern Institute of Business Studies,Computer Science,Pune,India

4. Institute of Aeronautical Engineering, Dundigal,Hyderabad

5. Lovely Professional University,Phagwara

6. Amity University,Amity International business school,Noida

Publisher

IEEE

Reference13 articles.

1. A survey of anomaly detection approaches and current improvements. Expert Systems Application;Hilal

2. Intelligent Fraud Detection in Financial Statements using Machine Learning and Data Mining: A Systematic Literature Review

3. Segmenting and classifying skin lesions using a fruit fly optimization algorithm with a machine learning framework

4. A decade assessment of data mining strategies for detecting financial fraud from 2004 to 2015 is published;Albashrawi;J. Data Sci

5. Experimental Analysis on Breast Cancer Using Random Forest Classifier on Histopathological Images

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