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    » Interval Structure: A Framework for Representing Uncertain I...
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    APVIS
    2001
    79views Information Technology» more  APVIS 2001»
    Visualising the Probability Distribution Function of Uncertain Data - Application to Stochastic Modelling of Ground Water Solute
    13 years 6 months ago
    Visualising the Probability Distribution Function of Uncertain Data - Application to Stochastic Modelling of Ground Water Solute
    Download  www.acs.org.au
    An overview of previous approaches to the visualisation of uncertainty is presented making the distinction between verity visualisation, where the uncertainty information is an in...
    Alan McKinnon, Emma Raymond
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    PVLDB
    2010
    158views more  PVLDB 2010»
    Building Ranked Mashups of Unstructured Sources with Uncertain Information
    13 years 3 months ago
    Building Ranked Mashups of Unstructured Sources with Uncertain Information
    Download  www.comp.nus.edu.sg
    Mashups are situational applications that join multiple sources to better meet the information needs of Web users. Web sources can be huge databases behind query interfaces, which...
    Mohamed A. Soliman, Ihab F. Ilyas, Mina Saleeb
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    INFFUS
    2006
    101views more  INFFUS 2006»
    Fusion rules for merging uncertain information
    13 years 5 months ago
    Fusion rules for merging uncertain information
    Download  www.cs.ucl.ac.uk
    In previous papers, we have presented a logic-based framework based on fusion rules for merging structured news reports [Hun00, Hun02b, Hun02a, HS03, HS04]. Structured news report...
    Anthony Hunter, Weiru Liu
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    TIM
    2010
    144views Education» more  TIM 2010»
    Extending Polynomial Chaos to Include Interval Analysis
    12 years 12 months ago
    Extending Polynomial Chaos to Include Interval Analysis
    Download  www.cse.sc.edu
    Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
    Antonello Monti, Ferdinanda Ponci, Marco Valtorta
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    COMAD
    2008
    112views Knowledge Management» more  COMAD 2008»
    Modeling Uncertain and Imprecise Information in Process Modeling with UML
    13 years 6 months ago
    Modeling Uncertain and Imprecise Information in Process Modeling with UML
    Download  www.cse.iitb.ac.in
    In designing and developing large complex products, people use models to describe and organize interrelated elements in both product systems (architecture, use cases, constraints....
    Xiao Jing, Pierre Pinel, Lei Pi, Vincent Aranega, ...
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