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researcher

André van Hoorn

2 papers hereh-index 684 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

most citedImproving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2020★ 5 cited

Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services

Vilc Rufino, Mateus Nogueira, Alberto Avritzer +7

Anomaly detection systems aim to detect and report attacks or unexpected behavior in networked systems. Previous work has shown that anomalies have an impact on system performance,…

cs.SE2018

diagnoseIT: Expertengestützte automatische Diagnose von Performance-Probleme in Enterprise-Anwendungen (Abschlussbericht)

Christoph Heger, André van Hoorn, Dušan Okanovic +3

This is the final report of the collaborative research project diagnoseIT on expert-guided automatic diagnosis of performance problems in enterprise applications.

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.