An anomaly detection approach based on hybrid differential evolution and K-means clustering in crowd intelligence
PurposeArtificial intelligence is gradually penetrating into human society. In the network era, the interaction between human and artificial intelligence, even between artificial intelligence, becomes more and more complex. Therefore, it is necessary to describe and intervene the evolution of crowd...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2021-08-01
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| Series: | International Journal of Crowd Science |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.1108/IJCS-07-2020-0013 |