Taming the uncertainty in trajectory data - DP130103245 -

Funding: 2013: $55,000
2014: $50,000
2015: $52,500

Project Member(s): Zhang, Y.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2013

Summary: This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories and their patterns, for important usages in location based services, logistic, transportation and tourism.

Publications:

Zhan, L, Zhang, Y, Zhang, W & Lin, X 2015, 'Finding Top <bold><inline-formula><tex-math>$k$</tex-math><alternatives> <inline-graphic xlink:type='simple' xlink:href='zhang-ieq1-2457899.gif'/></alternatives></inline-formula></bold> Most Influential Spatial Facilities over Uncertain Objects', IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 12, pp. 3289-3303.
View/Download from: Publisher's site

Keywords: uncertain, trajectory

FOR Codes: Database Management, Electronic Information Storage and Retrieval Services, Database systems

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.