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Process Mining Techniques for Detecting Fraud in Banks: A Study

Turkish journal of computer and mathematics education, 2021-01, Vol.12 (12), p.3358-3375

2021. This work is published under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 1309-4653

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  • Title:
    Process Mining Techniques for Detecting Fraud in Banks: A Study
  • Author: Srivastava, Swati ; Bhatnagar, Roheet
  • Subjects: Fraud ; Phosphates ; Site planning
  • Is Part Of: Turkish journal of computer and mathematics education, 2021-01, Vol.12 (12), p.3358-3375
  • Description: Banks play an important role in a nation's economy, benefiting both residents and governments. In the recent past, many fraudulent happenings in banks have been identified as a result of vested interests. This paper examines the most common forms of insider fraud that occur in banks and attempts to categorise them. We include a description, factors associated to certain categories of fraud, and challenges in detecting frauds in this article. It is critical to identify such fraudulent events automatically until it is too late and get the individuals or groups of individuals into agreement. The process mining techniques is useful because it aids in the detection of irregular data.
  • Publisher: Trabzon: Karadeniz Technical University Distance Education Research and Application Center
  • Language: English
  • Identifier: EISSN: 1309-4653
  • Source: ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
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