Title :
Cubix: A Visual Analytics Tool for Conceptual and Semantic Data
Author :
Melo, Carolina ; Mikheev, Andrei ; Le-Grand, B. ; Aufaure, Marie-Aude
Author_Institution :
MAS - Ecole Centrale Paris, Chatenay-Malabry, France
Abstract :
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.
Keywords :
data analysis; data visualisation; formal concept analysis; information filtering; Cubix; FCA-based visual analytics tool; business intelligence; complex data filtering; complex data manipulation; conceptual data; formal concept analysis-based analytics tool; semantic data; visually complex data query; Association rules; Context; Data visualization; Lattices; Semantics; Visual analytics; Association Rules; Formal Concept Analysis; Visual Analytics;
Conference_Titel :
Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4673-5164-5
DOI :
10.1109/ICDMW.2012.41
