Skip to content
Science and Engineering a university for the real world

Student topics

Explore topics that we're looking for students to research, and discover the fields that our students are currently working on.

Within each School or discipline, you can find topics at your study level: PhD, Masters, Honours or the Vacation Research Experience Scheme (VRES).

15 matching student topics

Displaying 1 - 12 of 15 matching student topics

Process model repair

Process model repair refers to the following problem: Given an event log of a process-aware information system that does not fit to a process model, automatically transform the model such that the event log fits the transformed model better than it fits the original model.Thus, process model repair allows keeping models of process-aware information systems in sync with observed process instances by suggesting mechanisms for reflecting traces encountered in event logs in executions of the corresponding models. …

Lead unit
School of Information Systems
Study levels
PhD
Master of Philosophy
Honours

Guided process analytics for actionable improvement recommendations

Process analytics mainly comprises of data-driven analysis of business processes using the massive amount of event log data captured by information systems in the organisations. Various analytical techniques have been developed to help extract insights about the actual business processes with the ultimate goal of process improvement.However, in the ‘big data’ era, we often face the problem that there is too much data to analyse. Without a clear objective for analysis, the tasks such as extracting the relevant data, analysing …

Lead unit
School of Information Systems
Disciplines
Data science
Business process management
Service science
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Innovation in process mining

Organisations store large amounts of data where every step is logged in information systems and available for analysts to reveal the hidden behaviour and performance of the business process. This can range from requests being handled within a government body, claims by an insurance company or orders from an online store.Process mining aims to derive information from this recorded historical organisational data. For instance, business analysts use process mining software to visualise logs and derive information and insights for managers.Ultimately, …

Lead unit
School of Information Systems
Disciplines
Computer human interaction
Data science
Information security
Business process management
Information science
Service science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Understanding the mechanisms of improving log quality in different process mining tools

Process Mining is a specialised form of data-driven process analytics where process data, collated from the different IT systems typically available in organisations, is analysed to uncover the real behaviour and performance of business operations.For the data and process analysis to be accurate, the accuracy of data is crucial. The adds significance to the quality of logs supplied for analysis. It is the responsibility of the process analyst to identify, assess and remedy the data to reduce errors in the …

Lead unit
School of Information Systems
Study levels
Honours
Vacation research experience scheme

Responsible Analytics of Process Data

Technological advances in the field of data science empowers organisations to become ‘data-driven’ by applying new techniques to analyse large amounts of data. The potential benefits include a better understanding of business performance and more-informed decision making for business growth. However, a key roadblock to this vision is the lack of transparency surrounding the quality of data.Process mining is a specialised form of data-driven process analytics where process data, collated from the different IT systems typically available in organisations, is …

Lead unit
School of Information Systems
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Privacy-Preserving Process Analytics

Modern organisations consider data to be their lifeblood. While the importance of data science and the potential benefits of data analytics are widely acknowledged, many people have grave concerns about irresponsible use of their data.Negative publicity surrounding large collections of personal data (incl. location, videos, pictures, emails, etc.) by corporations such as Google and Facebook and subsequent breaches have resulted in people losing trust in, and becoming more suspicious about, how their personal data is being used by such organisations.Process …

Lead unit
School of Information Systems
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Map-reduce databases for process mining: a good match?

Process mining is a specialised form of analytics of growing practical significance. It is well known for its ability to mine datasets, resulting from the execution of processes, to identify inefficiencies, and to reveal insights into resource behaviour, activity dependencies, and process compliance, among others.As such, it is instrumental to effective decision making and streamlining of business processes. Process mining can also operate in tandem with process automation to fine tune on-the-fly decision making and predicting resource utilisation.A challenge that …

Lead unit
School of Information Systems
Disciplines
Data science
Business process management
Study levels
Honours
Vacation research experience scheme

Multi-level process mining

Process mining aims to derive information from historical behaviour of processes in organisations which has been recorded in event logs. Business analysts use process mining software to visualise logs and derive information and insights for managers. Ultimately, this information is used to improve processes to, for instance, optimise costs, time and/or the environment. Process mining is an exciting field with lots of opportunity for research and with many successful commercial solutions being offered.Business process models describe one case, such as …

Lead unit
School of Information Systems
Disciplines
Computer human interaction
Data science
Information security
Business process management
Information science
Service science
Applied and computational mathematics
Statistics and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Process querying

Process querying studies automated techniques for managing large collections of models of process-aware information systems based on process instances that these models describe. A user interacts with a collection of process models via process querying intents. A process querying intent is a formally specified request to manage a collection of process models for a particular purpose. Process querying research initiative spans a wide range of topics from theoretical studies of algorithms and the limits of computability of process querying techniques …

Lead unit
School of Information Systems
Study levels
PhD
Master of Philosophy
Honours

Improving process discovery

Nowadays, commercial and governmental organisations store lots of data related to their business processes. From such recorded data, process mining aims to gain insights in order for the process to be improved.A first step in typical process mining projects is to discover a process model automatically from the recorded event log. Leading process discovery techniques currently provide several guarantees, such as soundness of the model and a good trade-off between including and excluding behaviour of the log in/from the model.In …

Lead unit
School of Information Systems
Disciplines
Data science
Business process management
Information science
Service science
Statistics and operations research
Study levels
Master of Philosophy
Honours

Diagnosis of data quality issues in BPI challenge data sets

Process mining aims to derive information from historical behaviour of processes in organisations which has been recorded in event logs. However, event data and event log quality are critical success factors for process mining projects. The logged event data generally requires significant manipulation, or data cleaning, to convert the raw data to an event log suitable for use in a process mining analysis.While data cleaning in is one of the main stages in various process mining methodologies, data quality is …

Lead unit
School of Information Systems

Understanding the development of process mining as a research discipline

With the increasing importance of business processes as competitive differentiators for organisations, data analytics and data mining are becoming the tools to “wring every last drop of value from these processes. Process mining (van der Aalst 2016), a branch of data science that bridges the gap between data mining and traditional forms of process analysis, provides analytical tools and methods which can deal with the huge volume of process-related data and distil insights about existing processes for decision makers.The idea …

Lead unit
School of Information Systems
Study levels
Master of Philosophy
Honours
Vacation research experience scheme

Page 1 of 2