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Grant Award View - GA29089-V4
Target-agnostic analytics: building agile predictive models for big data
GA ID:
GA29089-V4
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Variation Publish Date:
21-Jun-2022
Variation Date:
21-Jun-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Apr-2019 to 30-Jun-2022
Value (AUD):
$315,000.00
(GST inclusive where applicable)
Varies:
GA29089
- Target-agnostic analytics: building agile predictive models for big data
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Target-agnostic analytics: building agile predictive models for big data
Purpose:
This project aims to develop target-agnostic analytics, creating models of data that can be queried about any variable or feature without having to be relearned. Government and business collect vast quantities of data, but these are wasted if we cannot use them to predict the future from the past. Presently, big-data analytics is effective at predicting a single pre-defined target variable, yet in many applications, what we know about a system and what we want to find out are far more complex. This project expects to yield novel target-agnostic technologies with associated publications and open-source software. The project will expand the capabilities of machine learning, providing better use of the massive data assets collected across most public, commercial and industry sectors.
GO ID:
GO Title:
Discovery Projects commencing in 2019
InternalReferenceId:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Monash University
Recipient ABN:
12 377 614 012
Grant Recipient Location
Suburb:
MULGRAVE
Town/City:
MULGRAVE
Postcode:
3170
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3170
Country:
AUSTRALIA