Sep 30, 2021 · This section outlines the concept of the Variable Correlation Detector (VCD). First, we explain important aspects of correlations of variables.
Oct 19, 2021 · We summarize our contributions as follows: ... An iterative method for selecting useful correlations of categorical variables. ... An online anomaly ...
Oct 4, 2021 · Iterative Selection of Categorical Variables for Log Data Anomaly Detection. Authors: Max Landauer, Georg Höld, Markus Wurzenberger, Florian ...
Therefore, we propose the Variable Correlation Detector (VCD) that employs a sequence of selection constraints to efficiently disclose pairs of variables with ...
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(2021a) employs iterative selection of categorical variables to automatically assess correlations specifically between categorical, i.e., discrete, variables ...
Oct 22, 2024 · We review 36 methods for the detection of anomalies in categorical data in both literatures and classify them into 12 different categories based ...
that they can be ingested by the anomaly detection model and be treated as a categorical variable (with number of categories equal to the number of unique log ...
In con- trast, most existing anomaly detection methods have several param- eters, such as the choice of a similarity function, density or distance thresholds, ...
To set a category field, choose Enable categorical fields and select a field. You cannot change the category fields after you create the detector. Only a ...
Variable distribution. Some variables are categorical, e.g., return code, URL, and IP in Nginx access log, whose distribution should be considered. For ...