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A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces

Research article (IEEE Transactions on Knowledge and Data Engineering, 2020) · cited 17× · AI/ML
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A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces

Summary

A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces is a scholarly article[1].

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  • A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-framework-for-anomaly-detection-in-time-driven-and-event-driven-processes-using-kernel-traces
MLA “A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-framework-for-anomaly-detection-in-time-driven-and-event-driven-processes-using-kernel-traces.
BibTeX @misc{4ortxyz_a-framework-for-anomaly-detection-in-time-driven-and-event-driven-processes-using-kernel-traces_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces}}, year = {2026}, url = {https://4ort.xyz/entity/a-framework-for-anomaly-detection-in-time-driven-and-event-driven-processes-using-kernel-traces}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces — https://4ort.xyz/entity/a-framework-for-anomaly-detection-in-time-driven-and-event-driven-processes-using-kernel-traces (retrieved 2026-05-24)

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