Browsing Faculty of Engineering by Author "Zengin, H."
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DILAF: A framework for distributed analysis of large-scale system logs for anomaly detection
Astekin, M.; Zengin, H.; Sözer, Hasan (Wiley, 2019-02)System logs constitute a rich source of information for detection and prediction of anomalies. However, they can include a huge volume of data, which is usually unstructured or semistructured. We introduce DILAF, a framework ... -
Evaluation of distributed machine learning algorithms for anomaly detection from large-scale system logs: a case study
Astekin, M.; Zengin, H.; Sözer, Hasan (IEEE, 2018)Anomaly detection is a valuable feature for detecting and diagnosing faults in large-scale, distributed systems. These systems usually provide tens of millions of lines of logs that can be exploited for this purpose. ...
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