Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices
Identifieur interne : 004422 ( Main/Exploration ); précédent : 004421; suivant : 004423Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices
Auteurs : Nicolas Jay [France] ; François Kohler [France] ; Amedeo Napoli [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: In this paper, we presents a research work based on formal concept analysis and interest measures associated with formal concepts. This work focuses on the ability of concept lattices to discover and represent special groups of individuals, called social communities. Concept lattices are very useful for the task of knowledge discovery in databases, but they are hard to analyze when their size become too large. We rely on concept stability and support measures to reduce the size of large concept lattices. We propose an example from real medical use cases and we discuss the meaning and the interest of concept stability for extracting and explaining social communities within a healthcare network.
Url:
DOI: 10.1007/978-3-540-78137-0_19
Affiliations:
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This work focuses on the ability of concept lattices to discover and represent special groups of individuals, called social communities. Concept lattices are very useful for the task of knowledge discovery in databases, but they are hard to analyze when their size become too large. We rely on concept stability and support measures to reduce the size of large concept lattices. 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