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

 Advancement in Designing of Wideband Horn Antenna

 A Dual Ridge Horn Antenna operating in frequency range of 4-17 GHz is designed using equation based exponential tapered part varies the impedance of the guide from 50 © at the feeding point (double-ridged rectangul...

 Gain Enhancement of the Helical Antenna by Effecting TurnSpacing

 Helical antennas have been widely used as simple and practical radiators over the last few decades. The reason of this demand is that, these antennas are having remarkable and unique properties such as naturally pr...

 Review: Sparse Representation for Face Recognition Application

 In recent years, signal processing has come under pressure to accommodate the increasingly high-dimensional data generated by modern sensing systems. In many cases these highdimensional signals contain relatively l...

THD Analysis of Cascaded Mli for Various PWM Techniques

Cascaded inverters are ideal for connecting renewable energy sources with an AC grid, because of the need for separate dc sources, which is the case in applications such as photo voltaics or fuel cells. The inverter coul...

 Design of Vedic Multiplier for Digital Signal Processing Applications

 Multiplier is one of the most important part in any processor speed which improves the speed of the operation like in special application processors like Digital Signal Processor (DSPs).To Increase the speed of o...

Download PDF file
  • EP ID EP94194
  • DOI -
  • Views 130
  • Downloads 0

How To Cite

Sitaram patel, Sunita Gond (2014). Supervised Machine (SVM) Learning for Credit Card Fraud Detection. INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY, 8(3), 137-139. https://europub.co.uk/articles/-A-94194