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Titlebook: Concept Lattices and Their Applications; Fourth International Sadok Ben Yahia,Engelbert Mephu Nguifo,Radim Beloh Conference proceedings 200

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Tokenisierung als Finanzierungsformns present in this formulation, in particular deriving a conceptual pre-ordering of the taxonomy, and constructing a correspondence between the annotations of an ordered set and the closure systems of its filter lattice. We study an example from the Gene Ontology to demonstrate how the introduced technique can be utilized for ontology review.
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https://doi.org/10.1007/978-3-642-93275-5mal Concept Analysis techniques can be helpful in the interpretation step of the knowledge discovery in databases process. This combined approach has been successfully used to assist public health managers in designing healthcare networks and planning medical resources.
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Closure Systems of Equivalence Relations and Their Labeled Class Geometriesditions under which the complete affine ordered set can be interpreted as the set of congruence classes labeled with the congruence relation they stem from yielding a coordinatization theorem for affine ordered sets.
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Using Formal Concept Analysis for Mining and Interpreting Patient Flows within a Healthcare Networkmal Concept Analysis techniques can be helpful in the interpretation step of the knowledge discovery in databases process. This combined approach has been successfully used to assist public health managers in designing healthcare networks and planning medical resources.
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Conference proceedings 2008lected from 41 submissions. The topics include formal concept analysis, foundations of FCA, mathematical structures related to FCA, relationship of FCA to other methods of data analysis, visualization of data in FCA, and applications of FCA..
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0302-9743 wed and selected from 41 submissions. The topics include formal concept analysis, foundations of FCA, mathematical structures related to FCA, relationship of FCA to other methods of data analysis, visualization of data in FCA, and applications of FCA..978-3-540-78920-8978-3-540-78921-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Case Studies and Expert Interviews, which allows the frequent concepts of a formal context with taxonomy to be computed. It works on a non-completed context and uses the taxonomy information when needed. The results avoid the redundancy problem with equivalent performance.
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