Predictive Model Utilising Big Data Analytics Article 2022

Running head: PREDICTIVE MODEL UTILISING BIG DATA ANALYTICS
PREDICTIVE MODEL UTILISING BIG DATA ANALYTICS
Name of the Student
Name of the Organization
Author Note

PREDICTIVE MODEL UTILISING BIG DATA ANALYTICS
1
Introduction
The fraud of the credit card and the net banking upon the internet is considered to be a
problem which is international within the particular domain of banking. In the year 2014, it
has been found that the global fraud has been accounted for a huge loss of about $16.31 and
this particular figure is seen to be incrementing day after day. This is because all the
fraudsters are highly developing a number of full new analytics for altering the normal
behaviour of working of the fraud detection system of the credit card.
Research Aims and Objectives
As it has been observed that data is increasing particularly in terms of PB and for
improving the specific performance of the server which is analytical in the building of model,
it is important to develop a framework which is interface analytical with Hadoop which can
be able to read the data in an efficient manner and also provide the analytical server for the
prediction of fraud.
Research Questions
 What are the challenges currently faced by both the credit card as well as the online
banking?
 Is there any kind of predictive model that can be utilising big data analytics for
helping in the prediction of the fraud of credit card?
Literature Review
Articles Main Idea A Main B Main C
Predictive Modelling
For Credit Card
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