Interactive Data Exploration on Top of Linguistic Summaries

被引：0
|
作者：
Smits, Gregory [1 ]
Yager, Ronald R. [2 ]
Pivert, Olivier [1 ]
机构：
[1] Univ Rennes 1, IRISA, UMR 6074, Lannion, France
[2] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2017年
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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：
Extracting useful and interpretable knowledge from raw data is a crucial issue that has been largely addressed by the data mining community especially. In this paper we provide an interactive data exploration approach that relies on two steps. First, a personalized linguistic summary of the data set concerned is built and displayed as a tag cloud. Then, exploration functionalities are provided on top of the summary to let the user discover interesting properties in the data as frequent/atypical/diversified associations between properties.
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页数：8
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