Taming the uncertainty in trajectory data - DP130103245 -
Funding: 2013: $55,000
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.
Zhan, L, Zhang, Y, Zhang, W & Lin, X 2015, 'Finding Top k Most Influential Spatial Facilities over Uncertain Objects', IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 12, pp. 3289-3303.
View/Download from: UTS OPUS or Publisher's site
Keywords: uncertain, trajectory
FOR Codes: Database Management, Electronic Information Storage and Retrieval Services