Abstract

Enterprise risk management is a well established methodology used in industry. This area relies heavily on risk owners and their expert opinion. In this work, we present an approach to a semi-automated risk detection for companies using anomaly detection. We present various anomaly detection algorithms and present an approach on how to apply them on multidimensional data sources like news articles and stock data to automatically extract possible risks. To do so, NLP methods, including sentiment analysis, are used to extract numeric values from news articles, which are needed for anomaly analysis. The approach is evaluated by conducting interview questionnaires with domain experts. The results show that the presented approach is a useful tooling that helps risk owners and domain expert to find and detect potential risks for their companies.

OriginalspracheEnglisch
Seiten1-16
Seitenumfang16
DOIs
PublikationsstatusVeröffentlicht - 31 Aug. 2022
Veranstaltung Intelligent Systems and Applications - Amsterdam, Amsterdam, Niederlande
Dauer: 1 Sep. 20222 Sep. 2022
https://saiconference.com/IntelliSys

Konferenz

Konferenz Intelligent Systems and Applications
KurztitelIntelliSys
Land/GebietNiederlande
OrtAmsterdam
Zeitraum01.09.202202.09.2022
Internetadresse

Schlagwörter

  • Anomaly detection
  • Risk management
  • Predictive analytics

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