Business process anomaly detection using ontology-based process modelling and Multi-Level Class Association Rule Learning

Riyanarto Sarno, Fernandes P. Sinaga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

34 Citations (Scopus)

Abstract

Many companies in the world have used the business process management system (BPMS). This system is used to manage and analyze the running business process in the company. Every business process has a possibility to have changes in its realization. Those changes generate some variations of the business process. The variations, can be in line with the company's principles and or become an anomaly for the company. These anomalies can cause frauds which make some losses for the company. In order to reduce the losses, business process anomaly detection method is needed. This paper proposed ontology-based process modeling to model and capture the business process anomalies and the method of multi-level class association rule learning (ML-CARL) to detect fraud in business process. From the experiment which have been done in this paper, the accuracy of 0.99 was obtained from the ML-CARL method. It could be concluded that ontology-based process modeling and the ML-CARL method can detect business process anomalies well.

Original languageEnglish
Title of host publicationProceeding - 2015 International Conference on Computer, Control, Informatics and Its Applications
Subtitle of host publicationEmerging Trends in the Era of Internet of Things, IC3INA 2015
EditorsArnida L. Latifah
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-17
Number of pages6
ISBN (Electronic)9781479987733
DOIs
Publication statusPublished - 8 Jan 2016
EventInternational Conference on Computer, Control, Informatics and Its Applications, IC3INA 2015 - Bandung, Indonesia
Duration: 5 Oct 20157 Oct 2015

Publication series

NameProceeding - 2015 International Conference on Computer, Control, Informatics and Its Applications: Emerging Trends in the Era of Internet of Things, IC3INA 2015

Conference

ConferenceInternational Conference on Computer, Control, Informatics and Its Applications, IC3INA 2015
Country/TerritoryIndonesia
CityBandung
Period5/10/157/10/15

Keywords

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  • formatting
  • insert
  • style
  • styling

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