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On the Fly Detection of Root Causes from Observed Data with Application to IT Systems Open
International audience
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems Open
This paper introduces a new structural causal model tailored for representing threshold-based IT systems and presents a new algorithm designed to rapidly detect root causes of anomalies in such systems. When root causes are not causally re…
Case Studies of Causal Discovery from IT Monitoring Time Series Open
Information technology (IT) systems are vital for modern businesses, handling data storage, communication, and process automation. Monitoring these systems is crucial for their proper functioning and efficiency, as it allows collecting ext…
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops Open
This paper presents an approach for identifying the root causes of collective anomalies given observational time series and an acyclic summary causal graph which depicts an abstraction of causal relations present in a dynamic system at its…
A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test Open
In this study, we focus on mixed data which are either observations of univariate random variables which can be quantitative or qualitative, or observations of multivariate random variables such that each variable can include both quantita…