A Soft Computing Approach to Agile Business Intelligence

被引：0
|
作者：
Smits, Gregory [1 ]
Pivert, Olivier [1 ]
Yager, Ronald R. [2 ]
机构：
[1] Univ Rennes 1, IRISA, UMR 6074, Lannion, France
[2] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2016年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel approach is introduced to let users extract knowledge from a raw dataset in an intuitive way and using their own vocabulary. The inner structure of a raw data set is first identified using a clustering algorithm, structure on which specificity-driven measures are defined to extract the most informative knowledge. To let domain experts interact with the cluster-based structure and its embedded knowledge, a graphical visualisation is proposed as well as dedicated query operators.
引用
收藏
页码：1850 / 1857
页数：8
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