Discovery Early Career Researcher Award - Grant ID: DE190100045

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE190100045

Funding Status
Closed

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Funded Activity Summary

Efficient and effective analytics for real-world time series forecasting. This project aims to create efficient, effective techniques that provide accurate forecasts for heterogeneous sets of time series of varying sizes. Exploiting similarities between time series means using many related series, not larger series when building forecasts. The expected outcomes should be innovative methods that improve accuracy and allow forecasting with shorter time series. The project addresses the need to exploit properties of big data accurately in a short time frame, which is transforming many industries. This should enable more accurate and reliable forecasts across industries as diverse as retail, food manufacturing, transport, mining, tourism, energy, and technology.

Funded Activity Details

Start Date: 18-02-2019

End Date: 31-12-2022

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $377,829.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Time-Series Analysis | Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Economics | Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Expanding Knowledge in Economics | Expanding Knowledge in the Information and Computing Sciences | Pattern Recognition and Data Mining | Time-Series Analysis

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