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Probabilistic database

Known as: Probabilistic databases 
Most real databases contain data whose correctness is uncertain. In order to work with such data, there is a need to quantify the integrity of the… 
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Related topics

Related topics

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ANSI-SPARC ArchitectureDatabaseDatabase theoryLogical data model

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Fuzzy logic

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Making Two Vast Historical Manuscript Collections Searchable and Extracting Meaningful Textual Features Through Large-Scale Probabilistic Indexing
Textual access to large collections of digitized images remains unfeasible because usually they lack transcripts. Transcribing… 
2017
2017
Zero-Shot Learning with Generative Latent Prototype Model
Zero-shot learning, which studies the problem of object classification for categories for which we have no training examples, is… 
Review
2016
Review
2016
An overview of wind power probabilistic forecasts
Over the past one to two decades, probabilistic forecasts have become more popular. Probabilistic forecasts take uncertainty into… 
Highly Cited
2014
Highly Cited
2014
HEH-BMAC: Hybrid polling MAC protocol for WBANs operated by human energy harvesting
This paper introduces human energy harvesting medium access control (MAC) protocol (HEH-BMAC), a hybrid polling MAC suitable for… 
2012
2012
Probabilistic SynSet Based Concept Location
Concept location is a common task in program comprehension techniques, essential in many approaches used for software care and… 
Highly Cited
2008
Highly Cited
2008
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data… 
Review
2007
Review
2007
A Review of Possibilistic Approaches to Reliability Analysis and Optimization in Engineering Design
A variety of analysis strategies and design methodologies are widely applied to accommodate uncertainties in engineering design… 
2006
2006
Selective Voting - Getting More for Less in Sensor Fusion
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent… 
2006
2006
Performance of two-stage tandem queues with blocking: The impact of several flows of signals
Highly Cited
2002
Highly Cited
2002
Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains
Bayesian Networks are being used extensively for reasoning under uncertainty. Inference mechanisms for Bayesian Networks are… 
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