The University of Queensland

Towards knowledge discovery from imperfect and evolving data (ARC Discovery Project administered by The University of Adelaide) (2024–2026)

Abstract:

Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, tested on real datasets, that combines new techniques in data modelling, algorithm development, and system design. Likely benefits are enhanced Australia's competence in data science through student training and new, robust data tools relevant to critical sectors such as cybersecurity, healthcare, and defence.

Grant type:

University of Adelaide

Researchers:

• 

  Dr Miao Xu

  ARC DECRA
  

  School of Electrical Engineering and Computer Science

  Faculty of Engineering, Architecture and Information Technology

Funded by:

The University of Adelaide