05374nam 22008295 450 99619968320331620200701172424.03-319-11508-110.1007/978-3-319-11508-5(CKB)3710000000249769(SSID)ssj0001354283(PQKBManifestationID)11768825(PQKBTitleCode)TC0001354283(PQKBWorkID)11322734(PQKB)11142251(DE-He213)978-3-319-11508-5(MiAaPQ)EBC6287815(MiAaPQ)EBC5594929(Au-PeEL)EBL5594929(OCoLC)891182623(PPN)181352028(EXLCZ)99371000000024976920140908d2014 u| 0engurnn|008mamaatxtccrScalable Uncertainty Management[electronic resource] 8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014, Proceedings /edited by Umberto Straccia, Andrea Cali1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (X, 322 p. 45 illus.) Lecture Notes in Artificial Intelligence ;8720Bibliographic Level Mode of Issuance: Monograph3-319-11507-3 Possibilistic networks: A new setting for modeling preferences -- Min-based assertional merging approach for possibilistic DL-Lite knowledge bases -- On the revision of possibilistic DL-Lite knowledge bases -- Interval-based possibilistic networks -- Tractable vs. Intractable Cases of Query Answering under Matching Dependencies -- Analogical classification: Handling numerical data -- Lazy Analogical Classification: Optimization and Precision Issues -- Update Operators for Inconsistent Query Answering: A New Point of View -- Improving Inconsistency Resolution by Considering Global Conflicts -- Probabilistic Argumentation Frameworks - A Logical Approach -- Computing Skyline from Evidential Data -- A Two-Level Approach to Maximum Entropy Model Computation for Relational Probabilistic Logic Based on Weighted Conditional Impacts: Solving Hidden-Semi-Markov-Mode Markov Decision Problems -- Probabilistic Strategies in Dialogical Argumentation -- Analytics over Probabilistic Unmerged Duplicates -- Answering Ontological Ranking Queries based on Subjective Reports -- A Petri net model of argumentation dynamics -- Integrity Constraints for Probabilistic Spatio-Temporal Knowledgebases.This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.Lecture Notes in Artificial Intelligence ;8720Artificial intelligenceApplication softwareInformation storage and retrievalComputer communication systemsDatabase managementData miningArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial intelligence.Application software.Information storage and retrieval.Computer communication systems.Database management.Data mining.Artificial Intelligence.Information Systems Applications (incl. Internet).Information Storage and Retrieval.Computer Communication Networks.Database Management.Data Mining and Knowledge Discovery.003.54Straccia Umbertoedthttp://id.loc.gov/vocabulary/relators/edtCali Andreaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996199683203316Scalable Uncertainty Management772490UNISA02773nam 2200577 a 450 991100681790332120250711095913.00-85709-227-8(CKB)2670000000076583(EBL)1584685(OCoLC)867317699(SSID)ssj0000614816(PQKBManifestationID)12283090(PQKBTitleCode)TC0000614816(PQKBWorkID)10604971(PQKB)10989780(MiAaPQ)EBC1584685(EXLCZ)99267000000007658320130211d2011 uy 0engur|n|---|||||txtccrAdvanced separation techniques for nuclear fuel reprocessing and radioactive waste treatment /edited by Kenneth L. Nash and Gregg L. LumettaCambridge Woodhead Pub.20111 online resource (513 p.)Woodhead Publishing series in energy,2044-9364 ;no. 2Description based upon print version of record.1-61344-382-X 1-84569-501-1 Includes bibliographical references and index.pt. 1. Fundamentals of radioactive materials separations processes : chemisry, engineering and safeguards -- pt. 2. Separation and extraction processes for nuclear fuel reprocessing and radioactive waste treatment -- pt. 3. Emerging and innovative techniques in nuclear fuel reprocessing and radioactive waste treatment.Advanced separations technology is key to closing the nuclear fuel cycle and relieving future generations from the burden of radioactive waste produced by the nuclear power industry. Nuclear fuel reprocessing techniques not only allow for recycling of useful fuel components for further power generation, but by also separating out the actinides, lanthanides and other fission products produced by the nuclear reaction, the residual radioactive waste can be minimised. Indeed, the future of the industry relies on the advancement of separation and transmutation technology to ensure environmental proWoodhead Publishing in energy ;no. 2.Separation (Technology)Nuclear fuelsRadioactive waste disposalSeparation (Technology)Nuclear fuels.Radioactive waste disposal.621.48335Nash Kenneth L.1950-1831694Lumetta Gregg J1822757MiAaPQMiAaPQMiAaPQBOOK9911006817903321Advanced separation techniques for nuclear fuel reprocessing and radioactive waste treatment4404509UNINA