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» Probabilistic Ranking of Database Query Results
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ICDE
2010
IEEE
248views Database» more  ICDE 2010»
14 years 1 months ago
MashRank: Towards uncertainty-aware and rank-aware mashups
Mashups are situational applications that build data flows to link the contents of multiple Web sources. Often times, ranking the results of a mashup is handled in a materializethe...
Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas
ICDE
2005
IEEE
133views Database» more  ICDE 2005»
14 years 10 months ago
Efficient Inverted Lists and Query Algorithms for Structured Value Ranking in Update-Intensive Relational Databases
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SVR uses structured data values to score (rank) the results of keyword search que...
Lin Guo, Jayavel Shanmugasundaram, Kevin S. Beyer,...
PVLDB
2010
110views more  PVLDB 2010»
13 years 7 months ago
Read-Once Functions and Query Evaluation in Probabilistic Databases
Probabilistic databases hold promise of being a viable means for large-scale uncertainty management, increasingly needed in a number of real world applications domains. However, q...
Prithviraj Sen, Amol Deshpande, Lise Getoor
SSD
2005
Springer
175views Database» more  SSD 2005»
14 years 2 months ago
Probabilistic Spatial Queries on Existentially Uncertain Data
We study the problem of answering spatial queries in databases where objects exist with some uncertainty and they are associated with an existential probability. The goal of a thre...
Xiangyuan Dai, Man Lung Yiu, Nikos Mamoulis, Yufei...
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 3 months ago
SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases
— A paramount challenge in probabilistic databases is the scalable computation of confidences of tuples in query results. This paper introduces an efficient secondary-storage o...
Dan Olteanu, Jiewen Huang, Christoph Koch