Anomaly monitoring framework based on intelligent data analysis.
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RATTADILOK, P., PETROVSKI, A. and PETROVSKI, S., 2013. Anomaly monitoring framework based on intelligent data analysis. In: H. YIN, K. TANG and Y. GAO, eds. Intelligent Data Engineering and Automated Learning -- IDEAL 2013: Proceedings. 20-23 October 2013. Heidelberg: Springer. Pp. 134-141.
Real-time data processing has become an increasingly important challenge as the need for faster analysis of big data widely manifests itself. In this research, several methods of Computational Intelligence have been applied for identifying possible anomalies in two datasets. The proposed framework shows a promising potential for anomaly detection and its lightweight, real-time features make it applicable to a range of in-situ data analysis scenarios.