Gray Codes for Partial Match and Range Queries
IEEE Transactions on Software Engineering
A model for the prediction of R-tree performance
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
ACM Computing Surveys (CSUR)
Speeding up construction of PMR quadtree-based spatial indexes
The VLDB Journal — The International Journal on Very Large Data Bases
Location Based Services
Range search on multidimensional uncertain data
ACM Transactions on Database Systems (TODS)
Efficient indexing methods for probabilistic threshold queries over uncertain data
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Toward Managing Uncertain Spatial Information for Situational Awareness Applications
IEEE Transactions on Knowledge and Data Engineering
Efficient search for the top-k probable nearest neighbors in uncertain databases
Proceedings of the VLDB Endowment
On the Effect of Location Uncertainty in Spatial Querying
IEEE Transactions on Knowledge and Data Engineering
On High Dimensional Indexing of Uncertain Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Probabilistic Inference over RFID Streams in Mobile Environments
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Effectively indexing uncertain moving objects for predictive queries
Proceedings of the VLDB Endowment
Effectively Indexing the Uncertain Space
IEEE Transactions on Knowledge and Data Engineering
A generic framework for handling uncertain data with local correlations
Proceedings of the VLDB Endowment
UPI: a primary index for uncertain databases
Proceedings of the VLDB Endowment
Probabilistic similarity join on uncertain data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Indexing Uncertain Data in General Metric Spaces
IEEE Transactions on Knowledge and Data Engineering
Finding top k most influential spatial facilities over uncertain objects
Proceedings of the 21st ACM international conference on Information and knowledge management
Processing probabilistic range queries over gaussian-based uncertain data
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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The range searching problem is fundamental in a wide spectrum of applications such as radio frequency identification (RFID) networks, location based services (LBS), and global position system (GPS). As the uncertainty is inherent in those applications, it is highly demanded to address the uncertainty in the range search since the traditional techniques cannot be applied due to the inherence difference between the uncertain data and traditional data. In the paper, we propose a novel indexing structure, named U-Quadtree, to organize the uncertain objects in a multi-dimensional space such that the range searching can be answered efficiently by applying filtering techniques. Particularly, based on some insights of the range search on uncertain data, we propose a cost model which carefully considers various factors that may impact the performance of the range searching. Then an effective and efficient index construction algorithm is proposed to build the optimal U-Quadtree regarding the cost model. Comprehensive experiments demonstrate that our technique outperforms the existing works for range searching on multi-dimensional uncertain objects.