Website
http://dataportal.arc.gov.au/NCGP/API/grants/DE140100387
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 Feedback Form.
Funded Activity Summary
Mining Patterns and Changes of Wave Shapes for Efficiently Querying Periodic Data Streams. Many data streams change periodically, such as vital physiological parameters (for example, heart rate, arterial pressure and respiratory impedance) and seasonal environmental data streams (for example, temperature and turbidity of river water). However, the querying of periodic data streams faces great challenges, including the issue of critical signals being generally buried within massive data while critical changes between similar wave shapes are difficult to recognise due to shifting, scaling and noise. This project will develop new mining algorithms to resolve these challenges by segmenting periodic wave shapes, discovering shape patterns and shape changes, and summarising raw data streams so that the summarised data can directly answer various user queries for efficiency.Funded Activity Details
Start Date: 05-2014
End Date: 09-2019
Funding Scheme: Discovery Early Career Researcher Award
Funding Amount: $349,179.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Pattern Recognition and Data Mining | Database Management | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Information Processing Services (incl. Data Entry and Capture) |
