Cubix: A Visual Analytics Tool for Conceptual and Semantic Data

被引：6
|
作者：
Melo, Cassio [1 ]
Mikheev, Alexander [1 ]
Le Grand, Benedicte
Aufaure, Marie-Aude [1 ]
机构：
[1] Ecole Cent Paris, MAS, Chatenay Malabry, France
来源：
12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012) | 2012年
关键词：
CONCEPT LATTICES;
D O I：
10.1109/ICDMW.2012.41
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：894 / 897
页数：4
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