The development of internal audit process analysis using process mining and machine learning techniques

Authors

  • Krisanapong Wimonsuk NIDA
  • Worapol Pongpech

Keywords:

process mining, machine learning, process improvement, inductive mining

Abstract

Follow-up and develop the internal audit process to be faster, keep up with the situation and reflect the actual operations, it is part of good organization management. But monitoring and improving operations on traditional conference table can be difficult and inefficient, including often using experiences and feelings of executives to solve problems or using the forecasted information alone may not be sufficient to reflect actual performance and unable to fix various bugs at the point. This research is using of Process Mining and Machine Learning techniques to help analyze event logs from the internal audit management system to find ways to develop and improve the internal audit process to be more efficient and suitable.

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References

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Published

2021-12-20

How to Cite

[1]
K. Wimonsuk and W. . Pongpech, “The development of internal audit process analysis using process mining and machine learning techniques ”, TJOR, vol. 9, no. 2, pp. 68–81, Dec. 2021.