Outlier Detection Using Oversampling PCA for Credit Card Fraud Detection
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Credit card fraud detection is an important application of outlier detection in recent years. Many outlier detection techniques are available but they are working in batch mode, due to this those techniques are not applicable for applications where large amount of data is present. In this paper, a new credit card fraud detection method based on Oversampling Principal Component Analysis (osPCA) with low computation and memory requirements is presented. Principal Component Analysis (PCA) is a tool in data analysis for dimension reduction, it transforms high dimensional data into lower dimensions which contains maximum amount of information. Here we are using concept of oversampling on data and then input is given to PCA, therefore it is possible to detect credit card frauds from large amount of data. This technique is suitable for online applications which have memory or computation limitation.
Authors and Affiliations
Amruta D. Pawar, Seema A. Dongare, Amol L. Deokate, Harshal S. Sangle, Panchsheela V. Mokal
Keywords
Related Articles
- EP ID EP24156
- DOI -
- Views 298
- Downloads 12
A Novel Method to Compute Resonant Frequency of Metamaterial Based Patch Antennas Using Neural Networks
This paper presents a novel metamaterial based miniaturised patch antenna for wireless application, whose resonant frequency is computed using an artificial neural network approach. The conventional patch resonates at 2...
The Case Study of Swarm Intelligence Optimization Algorithm Performance.
This paper was study in swarm intelligence optimization algorithm performance nature-inspired meta-heuristic algorithm, especially those based on swarm intelligence. Have attracted much attention in the algorithm Partic...
Seismic & Stability Analysis of Gravity Dam
The aim of the study is to analyse the dam for stability and seismic forces. Dam being one of the mega structure it becomes prime important to design and analyse such structure with keen observation considering various...
CUDA Implementation of Heart Health Risk Assessment System Using Ontologies
Heart attack is one of the leading causes of death in both developed and developing countries. The abnormal physical activity of the person which leads to heart attack determined using data mining techniques over data g...
Closed Loop control of Hybrid Frequency Modulation of Integrated Boost Resonant Converter
The paper deals with a unique modulation method for extending the input range of pulse-width modulation (PWM)-integrated resonant converters, such as the isolated boost resonant converter, while maintaining high convers...