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Process data analytics: quality-informed and responsible process mining

Modern organisations consider data to be the lifeblood of their organisations. Technological advances in the fields of Business Intelligence (BI) and Data Science empower organisations to become ‘data-driven’ by applying new techniques to analyse and visualise large amounts of data. The potential benefits include a better understanding of business performance and more-informed decision making for business growth.A key road block to this vision is the lack of transparency surrounding the quality of data. Significant data quality issues persist and hinder …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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 …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

Analysis of quantum bayesian networks under a real-world medical decision problem

Probabilistic graphical models, such as Bayesian Networks, are one of the most powerful structures known by the Computer Science community for deriving inferences based on probability.However, modern cognitive psychology has revealed that human decisions could not follow the rules of classical probability theory because humans cannot process large amounts of data in order to make judgements. Consequently, the inferences performed are based on limited data coupled with several heuristics, leading to violations of the law of total probability. This means …

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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 …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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 …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

Understanding the true value of Business Process Management

Many organisations are investing considerable resources for Business Process Management (BPM) with the hope of achieving more efficient and effective business processes. However, ironically, the value of BPM is poorly understood. Questions are continuously brought up in both the practice and academic spheres of BPM that remain unanswered, such as:How does BPM support corporate performance?What direct and indirect ‘value’ does Business process management bring?How can BPM capabilities assist towards achieving company goals?A deeper understanding of the values related to BPM …

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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 …

Study level
Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

Robotic Process Automation: Research Opportunities

Recently, there has been a strong interest in industry in a specific area of automation Robotic Process Automation (RPA). This term can include robotics, software agents acting as human beings in system interactions, and process automation, workflow management systems or systems that are process-aware.RPA is a relatively new technology comprising of software agents called `bots' that mimic the manual path taken by a human through a range of computer applications when performing certain tasks in a business process. The tasks …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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