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ISBN: 978-1-4673-5164-5
pp: 894-897
This paper presents Cubix, a Formal Concept Analysis (FCA)-based analytics tool for Business Intelligence. The main purpose of Cubix is to provide novel ways of applying visual analytics in which meaningful diagrammatic representations will be used for manipulating, filtering and visually querying complex data. We present its main features, typical applications and future steps towards an advanced FCA-based visual analytics.
Lattices, Data visualization, Semantics, Context, Association rules, Visual analytics, Association Rules, Formal Concept Analysis, Visual Analytics
Cassio Melo, Alexander Mikheev, Benedicte Le-Grand, Marie-Aude Aufaure, "Cubix: A Visual Analytics Tool for Conceptual and Semantic Data", ICDMW, 2012, 2013 IEEE 13th International Conference on Data Mining Workshops, 2013 IEEE 13th International Conference on Data Mining Workshops 2012, pp. 894-897, doi:10.1109/ICDMW.2012.41
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