Supervised Machine (SVM) Learning for Credit Card Fraud Detection
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 8, Issue 3
Abstract
The growth of e commerce increases the money transaction via electronic network which is designed for hassle free fast & easy money transaction. The facility involves greater risk of misuse for fraud one of them is credit card fraud which can happen by many types as by stolen card, by INTERNET hackers who can hack your system & get important information about your card or by information leakage during the transaction. Several researchers have proposed their work for credit card fraud detection by characterizing the user spending profile. In this thesis we are proposing the SVM (Support Vector Machine) based method with multiple kernel involvement which also includes several fields of user profile instead of only spending profile. The simulation result shows improvement in TP (true positive), TN (true negative) rate, & also decreases the FP (false positive) & FN (false negative) rate.
Authors and Affiliations
Sitaram patel , Sunita Gond
Keywords
Related Articles
- EP ID EP94194
- DOI -
- Views 120
- Downloads 0
Content-Based Spam Filtering and Detection Algorithms- An Efficient Analysis & Comparison
Spam is one of the major problems faced by the internet community. There are many approaches developed to overcome spam and filtering is one of the important one. The Content-based filtering is also known as cognit...
Deposition, Optical Characterization and Durability Tests of MgF2 Antireflection Thin Films
In this study, structural and optical properties of MgF2 thin films produced by physical vapour deposition technique on the BK7 glass substrate have been investigated. Deposited films were annealed at different tem...
Automatic load frequency control of multi-area power system using ANN controller and Genetic algorithm
In this paper work we analyze and design Automatic load frequency control of two areas power system using Genetic Algorithm and also for four area power system using artificial neural network (ANN), generation co...
Analysis of Stub Loaded Embedded With Open Loop Resonator for Multiband Band Pass Filter
This paper presents a high-selectivity planar multi-band band pass filter with high interference suppression between the bands. The proposed filter utilizes two different kinds of resonators, i.e., stub-loaded resonator...
Z – Source Inverter for Fuel Cells
This paper presents a Z-source converter also known as impedance-source (or impedance-fed) power converter and its control method for implementing dc-to-ac, ac-to-dc, ac-to-ac, and dc-to-dc power conversion. The Z-...