Scalable Uncertainty Management [electronic resource] : 6th International Conference, SUM 2012, Marburg, Germany, September 17-19, 2012, Proceedings /

Xtream: A System for Continuous Querying over Uncertain Data Streams -- Applications of Ordinal Ranks to Flexible Query Answering -- Stable Semantics in Logic-Based Argumentation -- Drift Detection and Characterization for Fault Diagnosis and Prognosis of Dynamical Systems -- Navigating Interpretability Issues in Evolving Fuzzy Systems -- Restoring Consistency in P2P Deductive Databases -- On the Complexity of the Graphical Representation and the Belief Inference in the Dynamic Directed Evidential Networks with Conditional Belief Functions -- Harmonic Wavelets Based Identification of Nonlinear and Time-Varian Systems -- Development of a Reliability-Based Design Optimization Toolbox for the FERUM Software -- Correcting Binary Imprecise Classifiers: Local vs Global Approach -- Comparing Partitions by Means of Fuzzy Data Mining Tools -- Probabilistic Conditional Independence under Schema Certainty and Uncertainty -- Uncertain Observation Times -- Merging Interval-Based Possibilistic Belief Bases -- Comfort as a Multidimensional Preference Model for Energy Efficiency Control Issues -- Deterministic Seismic Hazard Analysis Considering Non-controlling Seismic Sources and Time Factors -- On Development of a New Seismic Base Isolation System -- Instantiation Restrictions for Relational Probabilistic Conditionals -- On Cluster Validity for Fuzzy Clustering of Incomplete Data -- An SMT-Based Solver for Continuous t-norm Based Logics -- Seismic Hazard Assessment on NPP Sites in Taiwan through an Observation-Oriented Monte Carlo Simulation.

This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 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.