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EDF: An Interactive Tool for Event Log Generation for Enabling Process Mining in Small and Medium-sized Enterprises

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(6), pp.101-112
  • DOI : 10.9708/jksci.2024.29.06.101
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 25, 2024
  • Accepted : May 28, 2024
  • Published : June 28, 2024

Frans Prathama 1 Seokrae Won 1 Iq Reviessay Pulshashi 1 Riska Asriana Sutrisnowati 1

1(주)아이오코드

Accredited

ABSTRACT

In this paper, we present EDF (Event Data Factory), an interactive tool designed to assist event log generation for process mining. EDF integrates various data connectors to improve its capability to assist users in connecting to diverse data sources. Our tool employs low-code/no-code technology, along with graph-based visualization, to help non-expert users understand process flow and enhance the user experience. By utilizing metadata information, EDF allows users to efficiently generate an event log containing case, activity, and timestamp attributes. Through log quality metrics, our tool enables users to assess the generated event log quality. We implement EDF under a cloud-based architecture and run a performance evaluation. Our case study and results demonstrate the usability and applicability of EDF. Finally, an observational study confirms that EDF is easy to use and beneficial, expanding small and medium-sized enterprises’ (SMEs) access to process mining applications.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.