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Discovering organisational knowledge from process event logs

Study level

PhD

Master of Philosophy

Honours

Vacation research experience scheme

Faculty/Lead unit

Science and Engineering Faculty

School of Information Systems

Topic status

We're looking for students to study this topic.

Supervisors

Dr Chun Ouyang
Position
Senior Lecturer
Division / Faculty
Science and Engineering Faculty

Overview

Process mining enables data-driven process analysis using the massive amount of event log data captured by information systems in today's organisations. Various techniques have been developed to help extract insights about the actual business processes with the ultimate goal to improve process performance as well as the organisations' business performance.

As an important sub-field of process mining, organisational mining focuses on discovering organisational knowledge, including e.g. organisational structures and human resources relevant to the performance of a business process, from event logs. In any organisation where humans play a dominant role, organisational mining helps managers gain a better understanding of the de facto grouping of human resources and their interactions thus to improve the related business processes.

Nevertheless, while the focus of process mining is being extended from the processes’ control-flow perspective (which is concerned with the structure of a process) to other aspects, the research problems related to organisational mining has so far received only limited attention.

Research activities

The research activities below can be scoped to cater for different types of research student projects.

  • Literature review on state-of-the-art approaches and techniques related to organisational mining
  • Design of new algorithms and techniques for organisational mining based on study and application of various data mining techniques
  • Design of new algorithms and techniques for organisational mining based on study and application of existing social network analysis techniques
  • Design of a systematic approach for actionable process improvement informed by the findings from organisational mining
  • Implementation of the new algorithms, techniques and approaches, visualisation of the results and finding, and evaluation using real event logs

Outcomes

  • New algorithms and techniques for organisational mining
  • New tools and visualisation for organisational mining
  • A systematic approach for actionable process improvement informed by organisational mining

Skills and experience

  • Familiarity with the fields of data mining and analytics (and preferably process analytics and/or social network analysis)
  • Reasonable writing skills
  • Problem-solving and logical thinking capabilities
  • Computer programming skills

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.