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...
| Published in: | Soft Computing |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Verlag
2018
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040059834&doi=10.1007%2fs00500-017-2989-5&partnerID=40&md5=e3c98ef17ab2e1211bda7bbaa2912bb8 |