Shapley-value anomaly tests equal simpler single-term tests for independent sensors but differ for correlated bivariate Gaussians, with strict superiority or inferiority depending on correlation sign.
Shapley values of reconstruction errors of pca for explaining anomaly detection
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Clustering traffic flows with histogram, ACF, PSD or naive representations improves traffic matrix prediction over global models on Abilene and GÉANT data, with most gains at moderate cluster counts and similar accuracy across representations.
A single fixed term in the Shapley value yields the same anomaly localization error probability as the full calculation for independent sensor observations, supported by a proof.
citing papers explorer
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Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
Shapley-value anomaly tests equal simpler single-term tests for independent sensors but differ for correlated bivariate Gaussians, with strict superiority or inferiority depending on correlation sign.
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On the Role of Time Series Clustering in Traffic Matrix Prediction
Clustering traffic flows with histogram, ACF, PSD or naive representations improves traffic matrix prediction over global models on Abilene and GÉANT data, with most gains at moderate cluster counts and similar accuracy across representations.