Indexing multi-dimensional uncertain data with arbitrary probability density functions
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Probabilistic Ranking Queries on Gaussians
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
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
Private queries in location based services: anonymizers are not necessary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Query answering techniques on uncertain and probabilistic data: tutorial summary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Spatial Range Querying for Gaussian-Based Imprecise Query Objects
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Casper*: Query processing for location services without compromising privacy
ACM Transactions on Database Systems (TODS)
Effectively indexing uncertain moving objects for predictive queries
Proceedings of the VLDB Endowment
Ranked Query Processing in Uncertain Databases
IEEE Transactions on Knowledge and Data Engineering
Probabilistic nearest-neighbor query on uncertain objects
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Private and Flexible Proximity Detection in Mobile Social Networks
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Efficient probabilistic reverse nearest neighbor query processing on uncertain data
Proceedings of the VLDB Endowment
Continuous inverse ranking queries in uncertain streams
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
The VLDB Journal — The International Journal on Very Large Data Bases
Similarity Join Processing on Uncertain Data Streams
IEEE Transactions on Knowledge and Data Engineering
Probabilistic similarity join on uncertain data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
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We consider a social networking service where numerous subscribers consent to disclose their current geographic location to a central server, but with a varying degree of uncertainty in order to protect their privacy. We aim to effectively provide instant response to multiple user requests, each focusing at continuously monitoring possible presence of their friends or followers in a time-varying region of interest. Every continuous range query must also specify a cutoff threshold for filtering out results with small appearance likelihood; for instance, a user may wish to identify her friends currently located somewhere in the city center with a probability no less than 75%. Assuming a continuous uncertainty model for streaming positional updates, we develop novel pruning heuristics based on spatial and probabilistic properties of the data so as to avoid examination of non-qualifying candidates. Approximate answers are reported with confidence margins, as a means of providing quality guarantees and suppressing useless messages. We complement our analysis with a comprehensive experimental study, which indicates that the proposed technique offers almost real-time notification with tolerable error for diverse query workloads under fluctuating uncertainty conditions.