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

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Unique Factorization Theorem and Formal Concept Analysiss an analogy of the well-known Fundamental Theorem of Arithmetics. The purpose of this paper is to present a new, less complicated, proof of this theorem that is based on Formal Concept Analysis. The method of the proof can be successfully applied even for more general mathematical structures known

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Towards an Iterative Classification Based on Concept Latticeent of a new structural signature adapted to noise context. The experimentation is realized on the noised symbols of GREC database [4]. Our experimentation presents a comparison with the two classical numerical classifiers that are the bayesian classifier and the nearest neighbors classifier and som

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Using Formal Concept Analysis for Mining and Interpreting Patient Flows within a Healthcare Networkerg-lattices to discover and represent flows of patient within a healthcare network. We give examples of analysis of real medical data showing how Formal Concept Analysis techniques can be helpful in the interpretation step of the knowledge discovery in databases process. This combined approach has

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Casus Alpha: de tandem aan het werkof this paper is to show how successful the lattice-theoretic foundation can be in applying Formal Concept Analysis in a wide range. This is demonstrated in three sections dealing with ., ., and . of conceptual knowledge. Finally, further relationships between abstract Lattice Theory and Formal Conc

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,»We go for Gold« –Der Traum von WM-Gold,llection of clusters extracted from tabular data. The basic idea of factorization by similarity is to have, instead of a possibly large original fuzzy concept lattice, its factor lattice. The factor lattice contains less clusters than the original concept lattice but, at the same time, represents a

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