Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering

被引：0
|
作者：
Casalino, Gabriella [1 ]
Castellano, Giovanna [1 ]
Mencar, Corrado [1 ]
机构：
[1] Univ Bari Aldo Moro, Dept Comp Sci, Bari, Italy
来源：
PROCEEDINGS OF THE 11TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT 2019) | 2019年 / 1卷
关键词：
Credit card fraud detection; Data stream classification; Semi-supervised fuzzy clustering; Incremental adaptive learning;
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：
The problem of credit card fraud detection is approached by a semi-supervised classification task on a data stream. The DISSFCM algorithm is applied, which is based on Dynamic Incremental Semi-Supervised Fuzzy C-Means that processes data grouped in small-size chunks. Experimental results on a real-world dataset of credit card transactions show that DISSFCM has comparable results with some fully-supervised stream data classification methods, also in presence of a high percentage of unlabeled data.
引用
收藏
页码：198 / 204
页数：7
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