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...

書誌詳細
出版年:	Soft Computing
第一著者:	Ali A.M.; Angelov P.
フォーマット:	論文
言語:	English
出版事項:	Springer Verlag 2018
オンライン･アクセス:	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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