Discovery Projects - Grant ID: DP240103070

Funding Activity

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Funded Activity Summary

Towards knowledge discovery from imperfect and evolving data. 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.

Funded Activity Details

Start Date: 2024

End Date: 12-2026

Funding Scheme: Discovery Projects

Funding Amount: $292,330.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Knowledge representation and reasoning | Data mining and knowledge discovery | Database systems | Data management and data science

ANZSRC Socio-Economic Objective (SEO)