Prediction of Credit Card Fraud Research Question 2022

Running head: PREDICTION OF CREDIT CARD FRAUD
PREDICTION OF CREDIT CARD FRAUD
Name of the Student
Name of the Organization
Author Note

PREDICTION OF CREDIT CARD FRAUD
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Abstract
Banking and all the financial industries are seen to be facing a number of several huge
challenges in the specific form of a number of transactions which are fraudulent. It has been
observed that the fraud of credit card is one of them. Hence, for the main purpose of detecting
the credit card fraud detection it is to be checked if predictive model utilising big data will be
helping in credit card fraud detection or not. The specific study has a proper introduction at
first which will be outlining the thesis and after that the literature review will be comprising
of a synthesis matrix which will be able to demonstrate the ability of finding all the several
sources which possess with the familiarity of the existing knowledge body. Lastly there is a
conclusion which will be answering the research question or rather the defined thesis.

PREDICTION OF CREDIT CARD FRAUD
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Table of Contents
Introduction................................................................................................................................3
Literature Review.......................................................................................................................3
Methodology..............................................................................................................................8
Conclusion..................................................................................................................................8
References..................................................................................................................................9
Bibliography.............................................................................................................................10

PREDICTION OF CREDIT CARD FRAUD
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Introduction
A large number of fraud cases of the credit card as well as the net banking on the
internet are considered to be as the largest international problem within the specific domain
of the banking. Particularly in the year 2014, it has been observed that the worldwide fraud
has been fully accounted for a great loss of nearly about sixteen dollars and this specific
figure has been observed to be hugely increasing day by day. This particularly because all the
several fraudsters are hugely developing a large number of new analytics for changing the
actual normal behaviour of the specific working of the detection system of the fraud of the
credit cards. It is to be understood if there can be a development of any kind of predictive
model for specially detecting the credit card frauds. A one-class approach of classification
can be resorted in the specific paradigm of big data. An architecture (hybrid) of the Particle
Swarm Optimization and also the Neural Network which is Auto-Associative can also be
utilised. Due to the huge advancement in the technology of internet, the utilisation of the
several credit cards has been seen to have dramatically incremented and it has finally lead to
an increment in the number of several frauds of credit card. A framework can also be
developed which will be particularly analytical of interface with the Hadoop which will be
able to read the data or rather information in a much efficient manner and it can also provide
the specific server which is analytical or the fraud detection.
Literature Review
Synthesis Matrix
Articles Main Idea A Main Idea B Main Idea C Main Idea D
Credit card
fraud detection
using big data
analytics: Use
The main aim
of the paper is
to resort to one-
class approach
The study will
be presenting
the particular
implementation
In particularly
the OCC one,
there are a
number of
The study
mostly shows
the employment
of OCC for the