Discovery Early Career Researcher Award - Grant ID: DE190101118

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE190101118

Funding Status
Active

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Funded Activity Summary

High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields including machine learning, pattern recognition, information retrieval, bioinformatics and image analysis. It is expected that the developed clustering techniques will provide significant performance improvements in industry sectors where decisions are made based on clustering data analytics, such as the sectors of finance, renewable energy and artificial intelligence.

Funded Activity Details

Start Date: 01-10-2019

End Date: 30-09-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $339,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Database Management

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Database Management | Expanding Knowledge in the Information and Computing Sciences | Information Systems

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