Linkage Projects - Grant ID: LP0219725

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP0219725

Funding Status
Closed

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

Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information. We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by Monash) and Support Vector Machines, in order to create efficient tailor-made software. Our software will respond to specific groups of users, and their changes over time, rather than just the average user. Moreover, it will integrate the functionalities of existing individual data mining software.

Funded Activity Details

Start Date: 31-01-2003

End Date: 01-09-2007

Funding Scheme: Linkage Projects

Funding Amount: $135,270.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Other Artificial Intelligence | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Telecommunications | Information processing services |

Other Keywords

Artificial Intelligence and Image Processing | Information processing services | Other Artificial Intelligence | Telecommunications

Related Links