Linkage Projects - Grant ID: LP140100937

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP140100937

Funding Status
Closed

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Funded Activity Summary

Active Management of Complex Non-self-finalising Behaviours through Deep Analytics. This project aims to build theoretical breakthroughs and novel tools for deep analytics and active management of non-self-finalising (NSF) individual and business behaviours, which are sophisticated and increasingly seen in public sectors such as taxation and business including banking and insurance. The challenging economic environment continues to make managing NSF behaviours difficult. To date, there are no sufficient theories or effective systems in data mining and behavioural science to systematically learn the intent, impact and patterns of NSF behaviours, and to suggest cost-effective responses to these behaviours. This project aims to ensure Australia’s leading role in innovation for evidence-driven enterprise behaviour analytics and management.

Funded Activity Details

Start Date: 05-08-2015

End Date: 04-08-2018

Funding Scheme: Linkage Projects

Funding Amount: $360,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Simulation and Modelling | Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Information Processing Services (incl. Data Entry and Capture) | Application Tools and System Utilities |

Other Keywords

Application Tools and System Utilities | Artificial Intelligence and Image Processing | Information Processing Services (incl. Data Entry and Capture) | Pattern Recognition and Data Mining | Simulation and Modelling

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