FCA based Concept Constructing and Similarity Measurement Algorithms

Lee, Ming-Che; Liu, Zhen Long; Chen, Hui Hui; Lai, Jian Bang; Lin, Yan

doi:10.4156/ijact.vol3.issue1.11

Cited by 11 publications

(1 citation statement)

References 32 publications

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“…We have proposed measures based on Formal Concept Analysis to determine conceptual proximity between people and identify user communities. Other approaches for conceptual similarity may be found in (Formica, 2008;Lee et al, 2011). The temporal evolution of our proximity measure is analyzed, and provides significant insights on trends and market behavior.…”

Section: Fca and Topology-based Solutions Applied To Social Network A...mentioning

confidence: 99%

Advances in FCA-based Applications for Social Networks Analysis

Aufaure

Grand

2013

International Journal of Conceptual Structures and Smart Applications

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Concept lattices have been widely used for various purposes in many different applications since the 1980s. Recent applications of Formal Concept Analysis include extensions of traditional FCA applications such as data and text mining, machine learning and knowledge management. Progress has also recently been made in software engineering, Semantic Web and databases. New applications have also emerged in the fields of healthcare, ecology, biology, agronomy, business and social networks. This article presents example of successful applications of FCA for Social Networks Analysis. We show the benefit of FCA solutions, as well as their combination with semantics and topology-based approaches. We conclude by presenting FCA-based visualization solutions and open challenges for FCA in the context of large and dynamic data.

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Section: Fca and Topology-based Solutions Applied To Social Network A...mentioning

confidence: 99%