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Detection of Fraud Patterns in Accounting Accounts Using Data Mining Techniques
2020
Open Journal of Business and Management
Accounting databases with fraudulent transactions inside was used to detect fraud patterns by data mining tool. The object was accomplished by the following method: first, inside data, fraudulent transactions according to three fraud patterns were settled, over it the algorithms, Euclidian distance and local outlier factors were run using Rapidminer program. As a result the fraud patterns were shown in different ways according to the specific graphics contributed by the program. In conclusion,
doi:10.4236/ojbm.2020.84102
fatcat:4dmhs4jmcvaqxmzprpfzwjna5u