Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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
Trio: a system for data, uncertainty, and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Data streams: algorithms and applications
Foundations and Trends® in Theoretical Computer Science
Sketching probabilistic data streams
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Efficient aggregation algorithms for probabilistic data
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Enabling data retrieval: by ranking and beyond
Enabling data retrieval: by ranking and beyond
Event queries on correlated probabilistic streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations
IEEE Transactions on Knowledge and Data Engineering
Probabilistic Inverse Ranking Queries over Uncertain Data
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
A Framework for Clustering Uncertain Data Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Reverse ranking query over imprecise spatial data
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Scalable Probabilistic Similarity Ranking in Uncertain Databases
IEEE Transactions on Knowledge and Data Engineering
A novel probabilistic pruning approach to speed up similarity queries in uncertain databases
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Probabilistic range monitoring of streaming uncertain positions in geosocial networks
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
On contextual ranking queries in databases
Information Systems
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This paper introduces a scalable approach for continuous inverse ranking on uncertain streams. An uncertain stream is a stream of object instances with confidences, e.g. observed positions of moving objects derived from a sensor. The confidence value assigned to each instance reflects the likelihood that the instance conforms with the current true object state. The inverse ranking query retrieves the rank of a given query object according to a given score function. In this paper we present a framework that is able to update the query result very efficiently, as the stream provides new observations of the objects. We will theoretically and experimentally show that the query update can be performed in linear time complexity. We conduct an experimental evaluation on synthetic data, which demonstrates the efficiency of our approach.