Fraud Detection using Machine Learning in e-Commerce
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 9
Abstract
The volume of internet users is increasingly causing transactions on e-commerce to increase as well. We observe the quantity of fraud on online transactions is increasing too. Fraud prevention in e-commerce shall be developed using machine learning, this work to analyze the suitable machine learning algorithm, the algorithm to be used is the Decision Tree, Naive Bayes, Random Forest, and Neural Network. Data to be used is still unbalance. Synthetic Minority Over-sampling Technique (SMOTE) process is to be used to create balance data. Result of evaluation using confusion matrix achieve the highest accuracy of the neural network by 96 percent, random forest is 95 percent, Naïve Bayes is 95 percent, and Decision tree is 91 percent. Synthetic Minority Over-sampling Technique (SMOTE) is able to increase the average of F1-Score from 67.9 percent to 94.5 percent and the average of G-Mean from 73.5 percent to 84.6 percent.
Authors and Affiliations
Adi Saputra, Suharjito Suharjito
Keywords
Related Articles
- EP ID EP645840
- DOI 10.14569/IJACSA.2019.0100943
- Views 134
- Downloads 0
Improved Accuracy of PSO and DE using Normalization: an Application to Stock Price Prediction
Data Mining is being actively applied to stock market since 1980s. It has been used to predict stock prices, stock indexes, for portfolio management, trend detection and for developing recommender systems. The various al...
e-Learning Tools on the Healthcare Professional Social Networks
According to many studies, professional social networks are not widespread in the health care environment, especially doctors. The article is devoted to two advanced digital tools that can attract the image and increase...
Efficient Video Editing for Mobile Applications
Recording, storing and sharing video content has become one of the most popular usages of smartphones. This has resulted in demand for video editing apps that the users can use to edit their videos before sharing on vari...
The Adoption of Software Process Improvement in Saudi Arabian Small and Medium Size Software Organizations: An Exploratory Study
Quite a lot of attention has been paid in the literature on “how to adopt” software process improvement (SPI) in Small and Medium Size (SME) software organization in several countries. This has resulted in limited improv...
Smartphone Image based Agricultural Product Quality and Harvest Amount Prediction Method
A method for agricultural product quality and harvest amount prediction by using smartphone camera image is proposed. It is desired to predict agricultural product quality and harvest amount as soon as possible after the...