@inproceedings{82142b4647684c149746c90f4835e83c,
title = "Fraud detection on event log of bank financial credit business process using Hidden Markov Model algorithm",
abstract = "Criminal cases of banks have risen by 55% in 2016. One of the reasons is the fraud in business processes cannot be detected early. Responding to that issue, this research proposes a method for detecting fraud on business processes in the bank credit application. This method uses Hidden Markov Models and activity information recorded in the event log. Hidden Markov Model that used for calculating probability possibility of fraud based on the event log. The results show that HMM method can detect fraud appropriately. The experimental results also show that the accuracy of the results is 94%.",
keywords = "bank, event logs, financial, fraud, hidden Markov model, process mining",
author = "Dewi Rahmawati and Riyanarto Sarno and Chastine Fatichah and Dwi Sunaryono",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd International Conference on Science in Information Technology, ICSITech 2017 ; Conference date: 25-10-2017 Through 26-10-2017",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/ICSITech.2017.8257082",
language = "English",
series = "Proceeding - 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",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "35--40",
editor = "Riza, {Lala Septem} and Andri Pranolo and Wibawa, {Aji Prasetyo} and Enjun Junaeti and Yaya Wihardi and Hashim, {Ummi Raba'ah} and Shi-Jinn Horng and Rafal Drezewski and Lim, {Heui Seok} and Goutam Chakraborty and Leonel Hernandez and Shah Nazir",
booktitle = "Proceeding - 2017 3rd International Conference on Science in Information Technology",
address = "United States",
}
