Vol.8, No.4, November 2019.                                                                                                                                                                           ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

A Review on Conformance Checking Technique for the Evaluation of Process Mining Algorithms


Vahideh Naderifar, Shahnorbanun Sahran, Zarina Shukur


© 2019 Zarina Shukur, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 8, Issue 4, Pages 1232-1241, ISSN 2217-8309, DOI: 10.18421/TEM84-18, November 2019.


Received: 12 April 2019.

Revised:   27 August 2019.
Accepted:  03 September 2019.
Published: 30 November 2019.




Information systems ease the collecting, processing, storing, and distributing informations, which in turn lead to decision-making and control in organizations. Information systems consist of information about key people, locations, and other important things in the organization. There is insufficient research on process mining, and the connection between data mining and model-driven process management. The goal of process mining is to discover, monitor, and improve processes by extracting knowledge from event logs. Conformance checking compares a process model with its event log. The inputs are event log and process model, while the output consists of diagnostic information, which shows differences and commonalities between the model and its log. The conformance checking technique is able to identify the similarities or differences between the process model and the event log. This research will introduce the conformance checking measures (fitness, precision, simplicity, and generalization) in order to improve the process model discovering from analytical aspects.


Keywords – process mining, conformance checking, control flow, process model, event log.



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