Anomaly Detection in Sliding Windows Using Dissimilarity Metrics in Time Series Data
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31956-3_54
Reference20 articles.
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2. Ariyaluran Habeeb, R.A., Nasaruddin, F., Gani, A., Targio Hashem, I.A., Ahmed, E., Imran, M.: Real-time big data processing for anomaly detection: a Survey. Int. J. Inf. Manage. 45, 289–307 (2019). https://doi.org/10.1016/J.IJINFOMGT.2018.08.006
3. Al-Anbuky, A., et al.: A survey of outlier detection techniques in IoT: review and classification. J. Sens. Actuat. Netw. 11(1), 4 (2022). https://doi.org/10.3390/JSAN11010004
4. Chandola, V., Banerjee, A., Kumar, V.; Anomaly detection: a survey. ACM Comput. Surv. (2009). https://doi.org/10.1145/1541880.1541882
5. Chandola, V., Banerjee, A., Kumar, V.: Outlier detection: a survey. ACM Comput. Surv. (2007)
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