Anomaly Monitoring Framework Based on Intelligent Data Analysis
نویسندگان
چکیده
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.
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تاریخ انتشار 2013