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Grant Award View - GA28601-V1
Drift learning for decision-making in dynamic multi-stream environments
GA ID:
GA28601-V1
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Variation Publish Date:
5-May-2020
Variation Date:
5-May-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
19-Jun-2019 to 19-Jun-2022
Value (AUD):
$467,000.00
(GST inclusive where applicable)
Varies:
GA28601
- Drift learning for decision-making in dynamic multi-stream environments
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Drift learning for decision-making in dynamic multi-stream environments
Purpose:
This project aims to provide application-ready real-time decision support systems for big data situations. Real-time support for organisational decisions is crucial in fast-changing environments that are highly dependent on data from multiple large streams. Unforeseen changes in data distribution (drift) are inevitable. The ability to learn drift in dynamic environments with multiple large data streams will benefit innovation and decision quality in challenging data situations. The project will have wide applications, such as in cybersecurity, telecommunications, bushfire control and logistics. The project will advance machine learning knowledge, providing a foundation and technologies to support real-time decision-making in big data environments.
GO ID:
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961
Grant Recipient Location
Suburb:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA