Assignment 1 Semester 1 2026
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Due Date: March 2026
QUESTION 1
Data Mining and Its Role in Fraud Investigations
Data mining refers to the systematic process of examining large volumes of electronic data
in order to identify patterns, trends, anomalies or relationships that may indicate fraudulent
activity. In a fraud investigation context, data mining is used to move beyond manual review
and instead apply technology driven techniques to uncover hidden indicators of fraud that
may not be immediately visible.
Data mining tools analyse large datasets such as accounting records, transaction logs,
payroll files, supplier databases and customer information. These tools search for unusual
patterns, including duplicate payments, round number transactions, transactions just below
approval limits, abnormal timing of transactions, or relationships between employees and
vendors. For example, data mining can identify situations where the same bank account
number appears for multiple suppliers or where an employee frequently overrides internal
controls.
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