Discovery Projects - Grant ID: DP180100966

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP180100966

Funding Status
Closed

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Funded Activity Summary

Large-scale spatio-temporal data hashing for efficient data analytics. This project aims to systematically investigate the challenging problem of hash function learning for large-scale spatio-temporal data. The project will generate high quality hash codes for spatio-temporal data objects, enabling efficient similarity computation and thus supporting various data mining tasks and applications. The project expects to devise a series of learning frameworks by addressing the specific challenges of different types of spatio-temporal data, such as univariate and multivariate. The project will provide significant benefits to both academia and industry in massive spatio-temporal data analysing, for example traffic flow mining and optimisation, weather forecasting and financial fraud detection.

Funded Activity Details

Start Date: 01-01-2018

End Date: 31-12-2022

Funding Scheme: Discovery Projects

Funding Amount: $373,733.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems Development Methodologies | Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Application Tools and System Utilities |

Other Keywords

Application Tools and System Utilities | Artificial Intelligence and Image Processing | Expanding Knowledge in the Information and Computing Sciences | Information Systems Development Methodologies | Pattern Recognition and Data Mining

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