Discovery Early Career Researcher Award - Grant ID: DE240100668

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE240100668

Funding Status
Active

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Towards Processing of Big Streaming Temporal Graphs. This project aims to develop efficient and scalable algorithms to process big streaming temporal graphs, which is in high demand for many data-intensive applications such as cybersecurity, crime monitoring, and e-marketing. In particular, I will investigate three most representative types of queries including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big streaming temporal graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and social analysis.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $435,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Data models storage and indexing | Graph social and multimedia data | Data management and data science | Query processing and optimisation

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Data management and data science | Data models storage and indexing | Electronic Information Storage and Retrieval Services | Graph social and multimedia data | Information Systems | Query processing and optimisation

Related Links