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Titlebook: Conceptual Exploration; Bernhard Ganter,Sergei Obiedkov Book 2016 Springer-Verlag Berlin Heidelberg 2016 Knowledge Acquisition.Data scienc

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书目名称Conceptual Exploration
编辑Bernhard Ganter,Sergei Obiedkov
视频video
概述Self contained, with numerous examples.Research, but nevertheless practical.A broad methodology of conceptual knowledge acquisition
图书封面Titlebook: Conceptual Exploration;  Bernhard Ganter,Sergei Obiedkov Book 2016 Springer-Verlag Berlin Heidelberg 2016 Knowledge Acquisition.Data scienc
描述This is the first textbook on attribute exploration, its theory, its algorithms for.applications, and some of its many possible generalizations. Attribute exploration.is useful for acquiring structured knowledge through an interactive process, by.asking queries to an expert. Generalizations that handle incomplete, faulty, or.imprecise data are discussed, but the focus lies on knowledge extraction from a.reliable information source..The method is based on Formal Concept Analysis, a mathematical theory of.concepts and concept hierarchies, and uses its expressive diagrams. The presentation.is self-contained. It provides an introduction to Formal Concept Analysis.with emphasis on its ability to derive algebraic structures from qualitative data,.which can be represented in meaningful and precise graphics..
出版日期Book 2016
关键词Knowledge Acquisition; Data science; Mathematical method; Formal concept analysis; Implication theories
版次1
doihttps://doi.org/10.1007/978-3-662-49291-8
isbn_softcover978-3-662-56999-3
isbn_ebook978-3-662-49291-8
copyrightSpringer-Verlag Berlin Heidelberg 2016
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https://doi.org/10.1007/978-3-658-16322-8offers several highly practical methods for working with concrete qualitative data. A solid knowledge of FCA is not a prerequisite for attribute exploration, but knowing the basic ideas will help. We therefore start with an introduction.
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Ideocracy and Systemic Apotheosis essentially relies on a single property of concept lattices, namely, that the set of concept intents is closed under intersection. The technique works for an arbitrary intersection-closed family of sets, that is, for a .. Readers who are familiar with closure systems but not with Formal Concept Ana
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Ideocracy and Systemic Apotheosiseach other. Each of the ten objects is a pair of unit squares representing a possible placement. These ten pairs are representatives for an infinite set of possible positions that such pairs of squares may have. It is not stated, but perhaps expected by the reader, that these ten examples cover all
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Defining Image Size and Spatial Resolutiond situations, and this last chapter is devoted to such ideas. We start with ., which lifts attribute exploration in a rather naturalway to first-order predicate logic, with Horn formulas replacing implications. Next we discuss how attribute exploration can be integrated with .. However, so much subs
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https://doi.org/10.1007/978-3-662-49291-8Knowledge Acquisition; Data science; Mathematical method; Formal concept analysis; Implication theories
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