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Clustering Uncertain Data Via K-Medoids
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Optimization of Queries over Interval Probabilistic Data
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A dynamic data structure for top-k queries on uncertain data
Theoretical Computer Science
Sliding-window top-k queries on uncertain streams
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APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Tolerant division queries and possibilistic database querying
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Efficient processing of probabilistic reverse nearest neighbor queries over uncertain data
The VLDB Journal — The International Journal on Very Large Data Bases
Consensus answers for queries over probabilistic databases
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Ranking distributed probabilistic data
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Anonymized data: generation, models, usage
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Continuously monitoring top-k uncertain data streams: a probabilistic threshold method
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A Model Based on Possibilistic Certainty Levels for Incomplete Databases
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Towards Relational Schema Uncertainty
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Context reasoning using extended evidence theory in pervasive computing environments
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Representing uncertain data: models, properties, and algorithms
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The trichotomy of HAVING queries on a probabilistic database
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Reverse skyline search in uncertain databases
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Dynamic structures for top-k queries on uncertain data
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Efficient evaluation of HAVING queries on a probabilistic database
DBPL'07 Proceedings of the 11th international conference on Database programming languages
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ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
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GRN model of probabilistic databases: construction, transition and querying
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Probabilistic string similarity joins
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QuaCon'09 Proceedings of the 1st international conference on Quality of context
Sliding-window top-k queries on uncertain streams
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Supporting ranking queries on uncertain and incomplete data
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Assuring data trustworthiness: concepts and research challenges
SDM'10 Proceedings of the 7th VLDB conference on Secure data management
Ranking queries on uncertain data
The VLDB Journal — The International Journal on Very Large Data Bases
Context-sensitive document ranking
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A unified approach to ranking in probabilistic databases
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Ranking uncertain sky: The probabilistic top-k skyline operator
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k-selection query over uncertain data
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Models for incomplete and probabilistic information
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Information Sciences: an International Journal
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Top-k entities query processing on uncertainly fused multi-sensory data
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Top-k best probability queries and semantics ranking properties on probabilistic databases
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We present MiniCount, the first efficient sound and complete algorithm for finding maximally contained rewritings of conjunctive queries with count, using conjunctive views with count and conjunctive views without aggregation. An efficient and scalable ...