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Introducer Concepts in n-Dimensional Contexts

2018/02/12 by Kahn, Giacomo, Bazin, Alexandre
#Artificial Intelligence (cs.AI) #Computational Complexity (cs.CC) #Databases (cs.DB) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.1802.04030

Abstract

Concept lattices are well-known conceptual structures that organise interesting patterns-the concepts-extracted from data. In some applications, such as software engineering or data mining, the size of the lattice can be a problem, as it is often too large to be efficiently computed, and too complex to be browsed. For this reason, the Galois Sub-Hierarchy, a restriction of the concept lattice to introducer concepts, has been introduced as a smaller alternative. In this paper, we generalise the Galois Sub-Hierarchy to n-lattices, conceptual structures obtained from multidimensional data in the same way that concept lattices are obtained from binary relations.

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