Titlebook: Handbuch Regierungs-PR; ?ffentlichkeitsarbei Miriam Melanie K?hler,Christian H. Schuster Book 2006 VS Verlag für Sozialwissenschaften | Spr

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lure diagnosis, etc. In a large-scale deployment system, log records are always unstructured and can not directly use for log analysis. Log parsing, as a key prerequisite for log analysis, converts unstructured log records into structured event templates by extracting the constant portion of the raw

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Miriam Melanie K?hler,Christian H. SchusterTianjin, China, in August 2019..The 11 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections named: System Support for Neural Networks; Scheduling and File Systems; Optimization and Parallelization; Security and Al

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narios, such as network intrusion detection, fraud detection and fault detection. This paper proposes a new anomaly detection method Distribution Forest (dForest) inspired by Isolation Forest (iForest). dForest builds an ensemble of special binary trees called distribution tree (dTree). The basic id

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rules. The CLF algorithm works through a 3-step process: clustering unstructured logs based on heuristic rules, clustering again according to specific separation rules and finally generating event templates. Finally, we used 7 data sets to evaluate the performance of CLF and compared with three sta

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Alaa Kubbar,Hussam Alkaissi,Mary Ann Banerji sizes and reason with this knowledge to enhance the capabilities of an intelligent tutoring system, and 2) how to maintain a consistent view of a student’s knowledge as the system-student interaction evolves. The ability to represent and reason about knowledge at various levels of detail is importa