Titlebook: Scalable Uncertainty Management; 6th International Co Eyke Hüllermeier,Sebastian Link,Bernhard Seeger Conference proceedings 2012 Springer-

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An Attempt to Employ Genetic Fuzzy Systems to Predict from a Data Stream of Premises Transactions. The approach consists in incremental expanding an ensemble by systematically generated models in the course of time. The output of aged component models produced for current data is updated according to a trend function reflecting the changes of premises prices since the moment of individual model

Left-Atrium

Navigating Interpretability Issues in Evolving Fuzzy Systems during the last years, are basically providing methodologies for precise modeling tasks, i.e. relations and system dependencies implicitly contained in on-line data streams are modeled as accurately as possible. This is achieved by permanent dynamic updates and evolution of structural components. L

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Certain Conjunctive Query Answering in SQLorld) of . is then obtained by selecting a maximal number of tuples without ever selecting two distinct tuples of the same relation that agree on their primary key. Given a query . on ., the . is the intersection of the answers to . on all repairs. Recently, a syntactic characterization was obtained

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Restoring Consistency in P2P Deductive DatabasesP environment. As usual, data are exchanged among peers by using logical rules, called mapping rules. The declarative semantics of a P2P system is defined in terms of weak models. Under this semantics each peer uses its mapping rules to import minimal sets of mapping atoms allowing to satisfy its lo

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On the Complexity of the Graphical Representation and the Belief Inference in the Dynamic Directed Eiciency by compactly representing (in)dependencies between variables in the network and efficiently reasoning under uncertainty. This paper presents a new dynamic evidential network for representing uncertainty and managing temporal changes in data. This proposed model offers an alternative framewor

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Revision over Partial Pre-orders: A Postulational Studybases and inputs are propositional formulas, a set of natural and rational properties, known as AGM postulates, have been proposed to define genuine revision operations. This paper addresses the following important issue : How to revise a partially pre-ordered information (representing initial belie

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Representing Uncertainty by Possibility Distributions Encoding Confidence Bands, Tolerance and Prediat may have generated the sample set. Almost all the existing methods are based on parametric and distribution free confidence bands. In this work, we introduce some new possibility distributions which encode different kinds of uncertainties not treated before. Our possibility distributions encode s