Discovery Projects - Grant ID: DP240101547

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP240101547

Funding Status
Active

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Funded Activity Summary

Temporal Graph Mining for Anomaly Detection. This project aims to develop new technologies to detect anomalous patterns from dynamic networked data. Anomalies in networked data are commonly seen but are often hidden within the complex interconnections of large-scale, heterogeneous, and dynamic data, rendering existing detection methods ineffective. This project expects to design novel temporal graph mining techniques to compress large-scale networks, unify heterogeneous information, and enable label-efficient anomaly detection. The performance will be assessed in social and business networks, with significant benefits to governments and businesses in many critical applications, including cyberbullying detection, malicious account detection, and cyber-attack detection.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Projects

Funding Amount: $476,668.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Data mining and knowledge discovery | Graph social and multimedia data | Data management and data science

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Data management and data science | Data mining and knowledge discovery | Expanding Knowledge In the Information and Computing Sciences | Graph social and multimedia data

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