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Titlebook: Knowledge Science, Engineering and Management; 4th International Co Yaxin Bi,Mary-Anne Williams Conference proceedings 2010 Springer-Verlag

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Jing Liao,Yaxin Bi,Chris Nugentlbeispielen aus der Praxis.Dieses Buch richtet sich an alle Gründer und Unternehmer, die ihren Betrieb neu aufstellen und allumfassend führen möchten. Seine Kernthese lautet: Ein Unternehmen kann sich nur dann nachhaltig auf dem Markt behaupten, wenn es die vier Anspruchsgruppen (Stakeholder), mit d
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Ontology Languages and Engineering,, and with major technology vendors starting to augment their existing systems with ontological reasoning. For example, Oracle Inc. recently enhanced its well-known database management system with modules that use RDF/OWL ontologies to support “semantic data management”, and their product brochure l
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Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospectty in populations, and epistemic uncertainty, arising from incompleteness of knowledge. An overview of both the fundamentals and some recent developments in this theory will first be presented. Several applications in data analysis and machine learning will then be reviewed, including learning under
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Modeling Ontological Concepts of Locations with a Heterogeneous Cardinal Direction Model,ial tasks. This paper applies a heterogeneous cardinal direction model, called ., to model human concepts of object locations on a plane, using its ability to illustrate where and how an object is located as seen from another with different spatial extensions. For generality, we adopt a set of forma
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Finding Minimal Rare Itemsets and Rare Association Rules, rules reflect regularities of local, rather than global, scope that can nevertheless provide valuable insights to an expert, especially in areas such as genetics and medical diagnosis where some specific deviations/illnesses occur only in a small number of cases. The work presented here is motivate
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A Comparison of Merging Operators in Possibilistic Logic,operators in possibilistic logic. We then propose an approach to evaluating the . of these merging operators. After that, we analyze the computational complexity of these possibilistic merging operators. Finally, we consider the compatibility of possibilistic merging operators with propositional mer
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