Author:
Grusho Alexander,Grusho Nick,Timonina Elena
Publisher
Springer International Publishing
Reference6 articles.
1. Grusho, A., Grusho, N., Timonina, E.: Detection of anomalies in non-numerical data. In: Proceedings of 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, pp. 273–276. IEEE, Piscataway (2016).
https://doi.org/10.1109/ICUMT.2016.7765370
2. Lee, D.: Anomaly detection in multivariate non-stationary time series for automatic DBMS diagnosis. In: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 412–419 (2017).
https://doi.org/10.1109/ICMLA.2017.0-126
3. Agrawal, S., Agrawal, J.: Survey on anomaly detection using data mining techniques. Procedia Comput. Sci. 60(1), 708–713 (2015).
https://doi.org/10.1016/j.procs.2015.08.220
4. Kaur, R., Singh, S.: A survey of data mining and social network analysis based anomaly detection techniques. Egypt. Inform. J. 17, 199–216 (2016).
https://doi.org/10.1016/j.eij.2015.11.004
5. Grusho, A.A., Grusho, N.A., Zabezhailo, M.I., Smirnov, D.V., Timonina, E.E.: Parametrization in applied problems of search of empirical reasons. Inform. Appl. 12(3), 62–66 (2018)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Trust Evaluation Problems in Big Data Analytics;Automatic Control and Computer Sciences;2022-12
2. Use of Contradictions in Data for Finding Implicit Failures in Computer Systems;Automatic Control and Computer Sciences;2021-12
3. Localization of the Root Cause of the Anomaly;Automatic Control and Computer Sciences;2021-12
4. Localizing Failures with Metadata;Automatic Control and Computer Sciences;2020-12