Automated business process discovery and analysis for the international higher education industry

Juan Gonzalez Dominguez, Peter Busch

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

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’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.
Original languageEnglish
Title of host publicationKnowledge Management and Acquisition for Intelligent Systems
Subtitle of host publication15th Pacific Rim Knowledge Acquisition Workshop, PKAW 2018, Proceedings
EditorsKenichi Yoshida, Maria Lee
Place of PublicationCham
PublisherSpringer, Springer Nature
Pages170-183
Number of pages14
ISBN (Electronic)9783319972893
ISBN (Print)9783319972886
DOIs
Publication statusPublished - 2018
Event15th Pacific Rim Knowledge Acquisition Workshop, PKAW 2018 held in conjunction with the 15th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2018 - Nanjing, China
Duration: 28 Aug 201829 Aug 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11016 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Pacific Rim Knowledge Acquisition Workshop, PKAW 2018 held in conjunction with the 15th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2018
Country/TerritoryChina
CityNanjing
Period28/08/1829/08/18

Keywords

  • Automated Business Process Discovery
  • Process Mining
  • Process Modeling
  • Business process
  • Process mining
  • Automated business process discovery
  • Process modeling

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