grant

Using data mining methods to remove uncertainties in sensor data streams [ 2013-01-01 - 2016-12-31 ]

Research Grant

[Cite as http://purl.org/au-research/grants/arc/DP130101327]

Researchers: Jing He (Chief Investigator) ,  Prof Yanchun Zhang (Chief Investigator) ,  Paulo de Souza (Partner Investigator) ,  de Souza Junior, Paulo (Partner Investigator)

Brief description Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.

Funding Amount $270,000

Funding Scheme Discovery Projects

View this grant in the ARC Data Portal

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