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Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: . Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
With the help of this tool, the auditors and accountants of any firm will be able to provide more analytical results. These tools are used throughout every business environment and also in the industry sectors too. With the help of computer-assisted audit techniques, more forensic accounting with more analysis can be done.
Today, forensic accountants work closely with data analytics to dig through complex financial records. Data collection is an important aspect of forensic accounting because proper analysis requires data that is sufficient and reliable. [24] Once a forensic accountant has access to the relevant data, analytic techniques are applied.
Forensic data analysis (FDA) is a branch of digital forensics. It examines structured data with regard to incidents of financial crime. The aim is to discover and analyse patterns of fraudulent activities. Data from application systems or from their underlying databases is referred to as structured data.
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
Forensic accountants need to have a great deal of access to information regarding the company they are investigating or assisting. The information will determine how much a person actually makes, the worth of a business, if there has been fraudulent activity, who committed the fraud, everyone involved, how much was taken from the company, where the money went, and how much can be recovered.