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Probabilistic Vs. Soft Computing for Classifying Credit Card Transactions. A Case Study of Pakistani's Credit Card Data

Amjad Ali, Muhammad Rafi
2015 Journal of Independent Studies and Research - Computing  
This study will compare four classification techniques namely Naïve Bayes, Bayesian network, Artificial Neural Network and Artificial Immune Systems for credit card transactions classification on a dataset  ...  The credit card fraud prevention and detection functionality is a type of classification problem for the new customer as well for existing customers.  ...  What will be good classification method for credit card transactions among the data mining methods: Naïve Bayes, Bayesian network, Artificial Neural Network and Artificial Immune Systems? 2.  ... 
doi:10.31645/jisrc/(2015).13.1.0003 fatcat:uktzyqjcxvcs5dd5airvcqpw4y

An Empirical Study of AML Approach for Credit Card Fraud Detection–Financial Transactions

Ajeet Singh, Anurag Jain
2019 International Journal of Computers Communications & Control  
Credit card fraud is one of the flip sides of the digital world, where transactions are made without the knowledge of the genuine user.  ...  Based on the study of various papers published between 1994 and 2018 on credit card fraud, the following objectives are achieved: the various types of credit card frauds has identified and to detect automatically  ...  Acknowledgment We gratefully acknowledge the funding agency, the University Grant Commission (UGC), Delhi, Government of India for providing financial support to complete this work. And also, 686 A.  ... 
doi:10.15837/ijccc.2019.6.3498 fatcat:wjy3q6batzclzkswvrs6nxddhm

A Hybrid Approach for Credit Card Fraud Detection using Rough Set and Decision Tree Technique

Rajni Jain, Bhupesh Gour, Surendra Dubey
2016 International Journal of Computer Applications  
INTRODUCTION In the credit card transaction credit card credentials for online transaction and physical card for offline transaction is used.  ...  Credit card owners are increasing at a high rate and all users transact with a sense of security and confidence, hence credit card security is a prime concern for online transactions.  ... 
doi:10.5120/ijca2016909325 fatcat:bwofzij5ovhshkjy2iqfrb3r5e

A Study on Credit Card Fraud Detection using Machine Learning

Ajayi Kemi Patience, Dr. Lakshmi J. V. N
2020 Zenodo  
if the credit card been used is a fraudulent transaction or not.  ...  Due to the high level of growth in each number of transactions done using credit card has led to high rise in fraudulent activities.  ...  A fraud detection system (FDS) should effectively and efficiently detect fraudulent used of credit card transaction.  ... 
doi:10.5281/zenodo.3892658 fatcat:m7xitkemjfc63egrvyje2mvphm

Analysis of Credit Card Fraud Detection Techniques

2016 International Journal of Science and Research (IJSR)  
Due to the rise and rapid growth of E-Commerce, use of credit cards for online purchases has dramatically increased and it caused an explosion in the credit card fraud.  ...  The obtained results from databases of credit card transactions show the power of these techniques in the fight against banking fraud comparing them to others in the same field.  ...  Such a survey will enable us to build a hybrid approach for identifying fraudulent credit card.  ... 
doi:10.21275/v5i3.nov162099 fatcat:zwchjgm5czeavmpajoy2dyf2nq

Credit Card Fraud Detection by using ANN and Decision Tree

Jasmine A Hudali, Kamalakshi, K P Mahalaxmi, Namita S Magadum, Prof. Sudhir Belagali
2019 Zenodo  
If the transaction is fraud it will takes some actions like sending the message to owner and credit card industries.  ...  Credit card fraud detection is one of the biggest ethical issues. Credit card fraud detection has different types of frauds.  ...  For this credit card fraud detection we are going to use the transactions of the credit card as dataset.  ... 
doi:10.5281/zenodo.3562024 fatcat:aylb2b5m4nggzb25jfv46bnttm

Credit Card Fraud Detection Using Split Criteria in Classification

Manisha Manisha
2017 IOSR Journal of Computer Engineering  
With an increase usage of credit cards for online purchases as well as regular purchases causes a credit card fraud.  ...  In this paper, we focus on Decision Tree technique; basically it provides a system which is supposed to classify a current transaction into fraud or non-fraud using split criteria.  ...  Credit card fraud is a wide-ranging term for theft and fraud committed using a credit card as a fraudulent source of funds in a given transaction.  ... 
doi:10.9790/0661-1902013943 fatcat:bilhbyu5anbnlmfnrl2pkm4fui

Comparative Analysis of Various Classification Algorithms in the Case of Fraud Detection

Ankur Rohilla
2017 International Journal of Engineering Research and  
In this paper we used three different classification algorithms (KNN, Neural network, C5.0) for fraud detection.  ...  In the case of credit card, fraudsters are the main intruder. These intruders can access some unauthorised transactions. It is very important to prevent your account transaction from these intruders.  ...  Classification can be done using these patterns of credit card through neural network. One can classify weather a transaction is fraudulent or genuine.  ... 
doi:10.17577/ijertv6is090047 fatcat:u6luhleftvdxzeerayhi3bve6u

Design of a Model in Machine Learning For Credit Card Fraud Detection

2022 Computer Engineering and Intelligent Systems  
To predict the likelihood of a customer's next transaction being fraudulent, the algorithm was trained using past e-commerce credit card transaction data.  ...  We provide a datadriven strategy for estimating the likelihood of a fraudulent or legal transaction based on machine learning techniques applied to large data sets.  ...  The choice of algorithms for a credit card fraud detection system, according to Sorournejad et al.  ... 
doi:10.7176/ceis/13-2-06 fatcat:dxrs5icyjzax5kbvoibjkijoo4

Financial Fraud Detection in Healthcare Using Machine Learning and Deep Learning Techniques

Abolfazl Mehbodniya, Izhar Alam, Sagar Pande, Rahul Neware, Kantilal Pitambar Rane, Mohammad Shabaz, Mangena Venu Madhavan, Chinmay Chakraborty
2021 Security and Communication Networks  
(KNN), Random Forest, and the Sequential Convolutional Neural Network are skewed for training the other standard and abnormal features of transactions for detecting the frauds in credit cards.  ...  Hence, continuous enhancement is necessary for the system for detecting frauds. Various fraud scenarios happen continuously, which has a massive impact on financial losses.  ...  the credit card fraud dataset and description related to it in the public domain.  ... 
doi:10.1155/2021/9293877 fatcat:lattsosu2je2zk37v2czq32drq

A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique
결제로그 분석 및 데이터 마이닝을 이용한 이상거래 탐지 연구 조사

Seong Hoon Jeong, Hana Kim, Youngsang Shin, Taejin Lee, Huy Kang Kim
2015 Journal of the Korea Institute of Information Security and Cryptology  
Due to a rapid advancement in the electronic commerce technology, the payment method varies from cash to electronic settlement such as credit card, mobile payment and mobile application card.  ...  Therefore, financial fraud is increasing notably for a purpose of personal gain.  ...  for Credit Card Fraud Detection" [31] Discriminant Analysis [11] Classification, Clustering -"Transaction Aggregation as a Strategy for Credit Card Fraud Detection" [11] HMM(Hidden Markov Model)  ... 
doi:10.13089/jkiisc.2015.25.6.1525 fatcat:7qyshycqrbdk7fdx7lg4ogk6ku

Application of Classification Models on Credit Card Fraud Detection

Aihua Shen, Rencheng Tong, Yaochen Deng
2007 2007 International Conference on Service Systems and Service Management  
Along with the great increase in credit card transactions, credit card fraud has become increasingly rampant in recent years.  ...  This paper provides a useful framework to choose the best model to recognize the credit card fraud risk.  ...  Ghosh, Reilly (1994) used a neural network based fraud detection system to train on a large sample of credit card account transactions which come from a credit card issuer.  ... 
doi:10.1109/icsssm.2007.4280163 fatcat:rsmmqxfaojbudgieognso5hnhy

Developing a Credit Card Fraud Detection Model using Machine Learning Approaches

Shahnawaz Khan, Abdullah Alourani, Bharavi Mishra, Ashraf Ali, Mustafa Kamal
2022 International Journal of Advanced Computer Science and Applications  
Though there are several methods for completing online transactions, however, credit cards are most commonly used.  ...  Therefore, there is a need for such a method that can automatically classify detect fraudulent transactions.  ...  ACKNOWLEDGMENT The authors would like to thank the Deanship of Scientific Research at Majmaah University for supporting this work under project no: R-2022-50.  ... 
doi:10.14569/ijacsa.2022.0130350 fatcat:4w26ik3txrgf3iwgciizslaanu


2011 Journal of Engineering Science and Technology  
The design of the neural network (NN) architecture for the credit card detection system was based on unsupervised method, which was applied to the transactions data to generate four clusters of low, high  ...  The self-organizing map neural network (SOMNN) technique was used for solving the problem of carrying out optimal classification of each transaction into its associated group, since a prior output is unknown  ...  [10] described the operational system for fraud detection of credit card operations based on neural classifier; Aleskerov et al.  ... 
doaj:8c103ce8169146ecb94bd0751129f571 fatcat:3gcaei3wbrfdvj4tdfsobxzcwe

Survey Paper on Credit card Fraud Detection System

K. Aditya Rao, Dr. Ganesh D
2022 International Journal for Research in Applied Science and Engineering Technology  
In the present world, we are facing a lot of credit card problems. To detect the fraudulent activities the credit card fraud detection system was introduced.  ...  Credit card fraud generally happens when the card was stolen for any of the unauthorized purposes or even when the fraudster uses the credit card information for his use.  ...  In other words, Credit Card Fraud can be defined as a case where a person uses someone else's credit card for personal reasons while the owner and the card issuing authorities are unaware of the fact that  ... 
doi:10.22214/ijraset.2022.41524 fatcat:fgy2zvv23rgrtdm7mvgravi5ui
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