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Fraud Detection on Event Logs using Constraint Based Association Rule Mining


KamaljitKaur Badwal , Grow More Faculty Of Engineering; Anju Ranavadia, Grow More Faculty Of Engineering; Rakesh Shah, Grow More Faculty Of Engineering


Process Mining, Event Log, Constraint Based Association Rule Mining, Fraud Detection


ERP is used in most of the businesses to operate it. When integrating many processes like banking, finance, marketing, HR etc. together, it keeps changing itself. Here, there are possibility of data based fraud because transaction are varied and have different sources to process on. There is a approach called association rule mining with process mining can be apply to detect such fraud. Process mining technique mine the fraud in the business process by checking the mismatch between event logs of business process with business process model of a company, which is better known as Standard Operating Procedure (SOP).As the event logs of a company is secured data for them, we will get results on artificial data of a school or a business with customized ERP. Here, the process fraud detection ratio is 96%, but they have considered limited resources. And because the data is not original the result can be processed on likewise criteria. We will try to get it processed with more trust worthy data.

Other Details

Paper ID: IJSRDV6I100160
Published in: Volume : 6, Issue : 10
Publication Date: 01/01/2019
Page(s): 161-163

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