LEADER 06369nam 22008295 450 001 9910484001503321 005 20200702151950.0 010 $a3-319-23540-0 024 7 $a10.1007/978-3-319-23540-0 035 $a(CKB)4340000000001092 035 $a(SSID)ssj0001585524 035 $a(PQKBManifestationID)16264117 035 $a(PQKBTitleCode)TC0001585524 035 $a(PQKBWorkID)14865115 035 $a(PQKB)11251277 035 $a(DE-He213)978-3-319-23540-0 035 $a(MiAaPQ)EBC6285715 035 $a(MiAaPQ)EBC5595197 035 $a(Au-PeEL)EBL5595197 035 $a(OCoLC)921923331 035 $a(PPN)190528222 035 $a(EXLCZ)994340000000001092 100 $a20150915d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aScalable Uncertainty Management $e9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings /$fedited by Christoph Beierle, Alex Dekhtyar 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XIX, 421 p. 77 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v9310 300 $aIncludes index. 311 $a3-319-23539-7 327 $aThe mysterious world of normal numbers -- Bayesian Networks -- Probabilistic Query Answering in the Bayesian Description Logic BEL -- The Complexity of Plate Probabilistic Models -- DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model -- Probabilistic Models -- State Space Search with Stochastic Costs and Risk Aversion -- On the Impact of Junction-Tree Topology on Weighted Model Counting -- A System for Probabilistic Inductive Answer Set Programming -- Towards Large-Scale Probabilistic OBDA -- Reasoning over Linear Probabilistic Knowledge Bases with Priorities -- Intelligent Data Analytics -- Evenness-based reasoning with logical proportions applied to classification -- Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning -- Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model -- Linguistic and Graphical Explanation of a Cluster-based Data Structure -- Possibility Theory, Belief Functions and Transformations -- Probability-possibility transformations: Application to credal networks -- Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics -- Propagation of Belief Functions in Singly-Connected Hybrid Directed Evidential Networks -- Uncertain logical gates in possibilistic networks. An application to human geography -- Argumentation -- Undercutting in argumentation systems -- Formalizing Explanatory Dialogues -- Towards a dual process cognitive model for argument evaluation -- Change in abstract bipolar argumentation systems -- On argumentation with purely defeasible rules -- Dealing with Inconsistency -- A possibilistic analysis of inconsistency -- First-Order Under-Approximations of Consistent Query Answers -- Using Rules of Thumb for Repairing Inconsistent Answer Set Program -- Applications -- Fuzzy XPath for the Automatic Search of Fuzzy Formulae Models -- ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution -- Matching uncertain identities against sparse knowledge. 330 $aThis book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers for SUM 2015 solicited submissions in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge. 410 0$aLecture Notes in Artificial Intelligence ;$v9310 606 $aArtificial intelligence 606 $aApplication software 606 $aInformation storage and retrieval 606 $aComputer communication systems 606 $aDatabase management 606 $aData mining 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aInformation storage and retrieval. 615 0$aComputer communication systems. 615 0$aDatabase management. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aInformation Storage and Retrieval. 615 24$aComputer Communication Networks. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 676 $a003.54 702 $aBeierle$b Christoph$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDekhtyar$b Alex$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484001503321 996 $aScalable Uncertainty Management$9772490 997 $aUNINA