Main Article Content
Today enterprises are growing in size supporting globally distributed and vigorous businesses involving a huge number of events. Enterprise Resource Planning (ERP) systems have a particular way of recording activities in the form of event logs. Organizations having ERP systems apply process mining techniques to extract information from event logs and analyze the actual business processes underlying the organizations. In this paper, we have focused over one of the process mining application features i.e. discovery of process model with control flow perspective. Acase study of a Pakistani Enterprise has been used to analyze the results of three applied discovery algorithms; Alpha Miner, Fuzzy Model, and Heuristic Miner. After being applied these three discovery algorithms has determined the most frequent behaviors underlying the complaint monitoring process. It is observed that for ideal process model discovery, preprocessing is the most essential and preliminary phase. The results of process mining techniques have been analyzed and visualized by using ProM framework and DISCO tool.
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
University of Sindh Journal of Information and Communication Technology (USJICT) follows an Open Access Policy under Attribution-NonCommercial CC-BY-NC license. Researchers can copy and redistribute the material in any medium or format, for any purpose. Authors can self-archive publisher's version of the accepted article in digital repositories and archives.
Upon acceptance, the author must transfer the copyright of this manuscript to the Journal for publication on paper, on data storage media and online with distribution rights to USJICT, University of sindh, Jamshoro, Pakistan. Kindly download the copyright for below and attach as a supplimentry file during article submission