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Anomalous behaviour detection based on heterogeneous data and data fusion

Crossref DOI link: https://doi.org/10.1007/s00500-017-2989-5

Published Online: 2018-01-06

Published Print: 2018-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ali, Azliza Mohd

Angelov, Plamen https://orcid.org/0000-0002-5770-934X
Funding

Funding for this research was provided by:

University of Lancaster
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License valid from 2018-01-06