Anomalous behaviour detection based on heterogeneous data and data fusion

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Anomalous behaviour detection based on heterogeneous data and data fusion

In this paper, we propose a new approach to identify anomalous behaviour based on heterogeneous data and a data fusion technique. There are four types of datasets applied in this study including credit card, loyalty card, GPS, and image data. The first step of the complete framework in this proposed...

书目详细资料
发表在:	Soft Computing
主要作者:	Ali A.M.; Angelov P.
格式:	文件
语言:	English
出版:	Springer Verlag 2018
在线阅读:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040059834&doi=10.1007%2fs00500-017-2989-5&partnerID=40&md5=e3c98ef17ab2e1211bda7bbaa2912bb8

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