@inproceedings{26fced7e79a14cfc80fe1fdb33550d4e,
title = "Automated business process discovery and analysis for the international higher education industry",
abstract = "The international education sector in Australia expects a rise in demand for higher education programs in the future. This increase drives universities to monitor and continuously improve their business processes. Automated Business Process Discovery or Process Mining helps organisations create a business process graphical representation or process model, leveraging data from their information systems. The lack of a business process model and inefficiency in harnessing process data deters fact-based process improvement decision-making, impacting a company{\textquoteright}s operations. Within the international education context, Process Mining can help discover, analyze, manage and improve processes efficiently and deal with increasing market demand of international student enrolments. Here we have used the Process Mining Methodology Framework for Discovery Analysis focusing on Control-flow and Case Data perspectives. We highlight challenges encountered in process data extraction and preparation as well as performance analysis to identify potential bottlenecks.",
keywords = "Automated Business Process Discovery, Process Mining, Process Modeling, Business process, Process mining, Automated business process discovery, Process modeling",
author = "{Gonzalez Dominguez}, Juan and Peter Busch",
year = "2018",
doi = "10.1007/978-3-319-97289-3_13",
language = "English",
isbn = "9783319972886",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "170--183",
editor = "Kenichi Yoshida and Maria Lee",
booktitle = "Knowledge Management and Acquisition for Intelligent Systems",
address = "United States",
note = "15th Pacific Rim Knowledge Acquisition Workshop, PKAW 2018 held in conjunction with the 15th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2018 ; Conference date: 28-08-2018 Through 29-08-2018",
}