Data structures & Algorithms

Assessment Requirement:
Submit a report of 2000 words excluding cover page, content page, and references.
Make sure that you have carefully read and fully understood the tasks before answering
them. Complete the tasks fully but concisely and as directly as possible. Follow all
specific instructions for individual questions.
Answer all tasks in your own words. Do not copy any text from the notes, readings or
other sources. The assignment must be your own work only.
Banking Fraud has been an ever-growing issue with huge consequences to banks and customers
alike, both in terms of financial losses, trust and credibility. Business Analytics is used to reduce
frauds in the financial organizations. In the light of case study that You have analyzed in the First
in class controlled assessment 1, the students are asked to do the following:

1. The students are asked to perform a descriptive analytics for the aim of exploring
the data attached with the assessment (credit Card.xls) by answering the
following:

a.Propose one interesting descriptive analytics insight that could be found in the
given data using statistical analysis. In addition, evaluate the results produced
(CLO3/10 marks, CLO4/10 marks)
b.Propose and evaluate one data visualizations that can help in telling interesting
story about the given data. In addition, evaluate the results produced.
(CLO3/10 marks, CLO4/10 marks)
Approved

2. Analyse one predictive analytics insight that can be found using the given data. In
addition, investigate one real life application where predictive analytics is applied
in the same context (include your citations). (CLO1/7 marks, CLO5 13 marks)
3. In comparison to the fraud caused by customer, appraise literature review on
another type of fraud detection and critically evaluate the different methods
applied. (include your citation). (CLO2/13 marks, CLO5 20 marks)
4. Appraise the data structure framework needed to analyse the problem you
investigated in 3 (CLO2/7 marks)
Answers to question 1 (a &b) should be implemented using R and the results should
be discussed for each.

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