Titlebook: Advances in Data Analysis with Computational Intelligence Methods; Dedicated to Profess Adam E Gawęda,Janusz Kacprzyk,Gary G. Yen Book 2018

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https://doi.org/10.1007/978-3-319-67946-4Computational Intelligence; Challenges of Computational Intelligence; Data Analysis; Systems Modeling; J

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978-3-319-88516-2Springer International Publishing AG 2018

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Advances in Data Analysis with Computational Intelligence Methods978-3-319-67946-4Series ISSN 1860-949X Series E-ISSN 1860-9503

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,Institutionalizing a Ministry: 1922–1947,internal and local characteristics of class distributions deteriorate performance of standard classifiers. Many of these factors may be approximated by analyzing the neighbourhood of the learning examples and identifying different types of examples from the minority class. In this paper, we follow r

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https://doi.org/10.1057/9781137382283ontology matching and more. Because of such broad scope it is, in a “general” case, difficult to properly capture and formalize. So far, many models and algorithms have been proposed that, albeit often very different in design and implementation, produce a single score (a number) each. These scores

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https://doi.org/10.1057/9780230235458oncepts coming from the field of complex systems. We focus on a class of recurrent networks called echo state networks. First, we present a method to analyze and characterize the evolution of its internal state. This allows to provide a qualitative interpretation of the network dynamics. In addition

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Casting: An Analytical Approachsed for performing integration of rule based systems are identified and discussed. These include high level modeling techniques for rule bases, integration architectures for rule-based systems, and rule interoperability challenges. In the chapter a short review of different rule types and languages