Abstract

The Financial Services Authority does fraud detection through several activities that are recorded in the event logs for detecting fraud. Patterns of Fraud Detection are used to analyze the performances of fraud detection and predict the next fraud detection. Patterns of Fraud Detection can be observed using a map model of fraud detection. On the other hand, modeling fraud detection is difficult because the fraud detection cannot be directly observed through an event log. The event log only records activities triggering by fraud detection. This paper proposes an intention mining method for modeling fraud detection using Coupled Hidden Markov Model. The proposed method determines strategies utilizing the activities and forms a map model of fraud detection using probabilities of Coupled Hidden Markov Model. The experiment outcomes show that the proposed method gets an appropriate map model of fraud detection. This paper also demonstrates that an obtained model using proposed method gets the better validity than an obtained model using Map Miner Method.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsLala Septem Riza, Andri Pranolo, Aji Prasetyo Wibawa, Enjun Junaeti, Yaya Wihardi, Ummi Raba'ah Hashim, Shi-Jinn Horng, Rafal Drezewski, Heui Seok Lim, Goutam Chakraborty, Leonel Hernandez, Shah Nazir
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-240
Number of pages6
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 1 Jul 2017
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
Country/TerritoryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • coupled hidden Markov model
  • fraud detection
  • intention mining
  • process discovery
  • validity

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