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Grant Award View - GA2558-V2
Large-scale spatio-temporal data hashing for efficient data analytics
GA ID:
GA2558-V2
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Variation Publish Date:
2-Aug-2021
Variation Date:
27-Jul-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2018 to 31-Dec-2021
Value (AUD):
$411,106.30
(GST inclusive where applicable)
Varies:
GA2558
- Large-scale spatio-temporal data hashing for efficient data analytics
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Large-scale spatio-temporal data hashing for efficient data analytics
Purpose:
This project aims to systematically investigate the challenging problem of hash function learning for large-scale spatio-temporal data. The project will generate high quality hash codes for spatio-temporal data objects, enabling efficient similarity computation and thus supporting various data mining tasks and applications. The project expects to devise a series of learning frameworks by addressing the specific challenges of different types of spatio-temporal data, such as univariate and multivariate. The project will provide significant benefits to both academia and industry in massive spatio-temporal data analysing, for example traffic flow mining and optimisation, weather forecasting and financial fraud detection.
Internal Reference ID:
DP18 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