Anomaly Detection in Time Series Data Using Spiking Neural Network
One of the crucial issues in anomaly detection problems is identifying abnormal patterns in time series data that contains noise and in unstructured form. In order to deal with this problem, a good detector is needed with a capability to learn the complex features in the datasets and extract useful...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publisher
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19952/ http://umpir.ump.edu.my/id/eprint/19952/ http://umpir.ump.edu.my/id/eprint/19952/ http://umpir.ump.edu.my/id/eprint/19952/1/Anomaly%20Detection%20in%20Time%20Series%20Data%20using%20Spiking.pdf |