Author:
Ben Kraiem Ines,Ghozzi Faiza,Peninou Andre,Roman-Jimenez Geoffrey,Teste Olivier
Publisher
Springer International Publishing
Reference17 articles.
1. Puttagunta, V., Kalpakis, K: Adaptive methods for activity monitoring of streaming data. In: ICMLA, vol. 2, pp. 197–203, June 2002
2. Ben Kraiem, I., Ghozzi, F., Péninou, A., Teste, O: Pattern-based method for anomaly detection in sensor networks. In: International Conference on Enterprise Information Systems, vol. 1, pp. 104–113, May 2019
3. Witten, I.H., Frank, E., Hall, M.A., Pal, C.J.: Data Mining: Practical Machine Learning Tools and Techniques, 4th edn. Morgan Kaufmann, Burlington (2016)
4. Agrawal, S., Agrawal, J.: Survey on anomaly detection using data mining techniques. Procedia Comput. Sci. 60, 708–713 (2015)
5. Omar, S., Ngadi, A., Jebur, H.H: Machine learning techniques for anomaly detection: an overview. Int. J. Comput. Appl. 79(2) (2013)
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