Discovery Early Career Researcher Award - Grant ID: DE240100200

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE240100200

Funding Status
Active

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Funded Activity Summary

Cohesive Multipartite Subgraph Discovery in Large Heterogeneous Networks. This project aims to devise novel cohesive multipartite subgraph models and corresponding efficient search algorithms based on various applications. Significant advances in understanding big data will be enabled by the proposed novel theories and algorithms, which can leverage the value of heterogeneous network data and serve as the foundation of network analytics. Expected outcomes of this project include novel cohesive multipartite subgraph models, efficient searching algorithms and platforms for heterogeneous networks. This should provide significant benefits for different organisations and a myriad of applications dealing with heterogeneous network data, including but not limited to e-commerce, cybersecurity, health and social networks.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $428,847.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Graph social and multimedia data | Database systems | Data management and data science | Query processing and optimisation

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Data management and data science | Database systems | Electronic Information Storage and Retrieval Services | Graph social and multimedia data | Information Systems | Query processing and optimisation

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