Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP190102078
Funding Status
Active
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
Approximate structures for efficient processing of data streams. This project aims to increase the volume of streamed data that can be handled on a low-powered device with limited memory. In finance, health, and transport, data arrives at enormous rates, and data-driven decisions must be made quickly. Likewise, to keep Australia secure, national agencies monitor and gather vast data sets. Increasingly, devices and monitors that have limited resources are making these decisions and they require computational techniques that run extremely efficiently. The project expects to develop and improve approximate data structures that operate in tight resource bounds. Anticipated outcomes are improved event recognition and dramatic speedup in analysis of streams in areas such as finance, health, transport, and urban data.Funded Activity Details
Start Date: 2019
End Date: 09-2024
Funding Scheme: Discovery Projects
Funding Amount: $395,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Analysis of Algorithms and Complexity | Computation Theory and Mathematics | Data Structures
ANZSRC Socio-Economic Objective (SEO)
Information Processing Services (incl. Data Entry and Capture) |
