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020 _a9783540879930
_9978-3-540-87993-0
024 7 _a10.1007/978-3-540-87993-0
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aScalable Uncertainty Management
_h[electronic resource] :
_bSecond International Conference, SUM 2008, Naples, Italy, October 1-3, 2008, Proceedings /
_cedited by Sergio Greco.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aXI, 401 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5291
505 0 _aConsistent Query Answering: The First Ten Years -- Heavy Tails and Web Models -- Managing Probabilistic Data with MystiQ: The Can-Do, the Could-Do, and the Can't-Do -- Frequent Itemset Mining from Databases Including One Evidential Attribute -- Evaluating Trustworthiness from Past Performances: Interval-Based Approaches -- A Comparative Study of Six Formal Models of Causal Ascription -- An Efficient Algorithm for Naive Possibilistic Classifiers with Uncertain Inputs -- Transitive Observation-Based Causation, Saliency, and the Markov Condition -- A Family of Tolerant Antidivision Operators for Database Fuzzy Querying -- Uncertainty Management for the Retrieval of Economic Information from Distributed Markets -- Loopy Propagation in a Probabilistic Description Logic -- On the Performance of Fuzzy Data Querying -- Tractable Reasoning with Bayesian Description Logics -- Approximate Reasoning for Efficient Anytime Induction from Relational Knowledge Bases -- Fusing Uncertain Structured Spatial Information -- A Neuro Fuzzy Approach for Handling Structured Data -- A Framework for the Partial Evaluation of SPARQL Queries -- An Evolutionary Perspective on Approximate RDF Query Answering -- Clustering Uncertain Data Via K-Medoids -- Speeding Up the NRA Algorithm -- Uncertain Context Modeling of Dimensional Ontology Using Fuzzy Subset Theory -- A Personalized Approach to Experience-Aware Service Ranking and Selection -- Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results -- Optimization of Queries over Interval Probabilistic Data -- Polynomial Time Queries over Inconsistent Databases -- Using OBDDs for Efficient Query Evaluation on Probabilistic Databases -- A Logical Framework to Reinforcement Learning Using Hybrid Probabilistic Logic Programs -- On theRelationship between Hybrid Probabilistic Logic Programs and Stochastic Satisfiability -- Scaling Most Probable World Computations in Probabilistic Logic Programs -- Measuring the Ignorance and Degree of Satisfaction for Answering Queries in Imprecise Probabilistic Logic Programs.
520 _aThis book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008. The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.
650 0 _aArtificial intelligence.
_93407
650 0 _aCompilers (Computer programs).
_93350
650 0 _aMachine theory.
_9126734
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aCompilers and Interpreters.
_931853
650 2 4 _aFormal Languages and Automata Theory.
_9126735
700 1 _aGreco, Sergio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9126736
710 2 _aSpringerLink (Online service)
_9126737
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540879923
776 0 8 _iPrinted edition:
_z9783540880998
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5291
_9126738
856 4 0 _uhttps://doi.org/10.1007/978-3-540-87993-0
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