Document (#41307)

Author

Tang, X.-B.
Liu, G.-C.
Yang, J.
Wei, W.

Title

Knowledge-based financial statement fraud detection system : based on an ontology and a decision tree

Source

Knowledge organization. 45(2018) no.3, S.205-219

Year

2018

Abstract

Financial statement fraud has seriously affected investors' confidence in the stock market and economic stability. Several serious financial statement fraud events have caused huge economic losses. Intelligent financial statement fraud detection has thus been the topic of recent studies. In this paper, we developed a knowledge-based financial statement fraud detection system based on a financial statement detection ontology and detection rules extracted from a C4.5 decision tree algorithm. Through discovering the patterns of financial statement fraud activity, we defined the scope of our financial statement domain ontology. By utilizing SWRL rules and the Pellet inference engine in domain ontology, we detected financial statement fraud activities and discovered implicit knowledge. This system can be used to support investors' decision-making and provide early warning to regulators.

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