RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk. (arXiv:2205.10004v1 [cs.LG])

Failures and anomalies in large-scale software systems are unavoidable
incidents. When an issue is detected, operators need to quickly and correctly
identify its location to facilitate a swift repair. In this work, we consider
the problem of identifying the root cause set that best explains an anomaly in
multi-dimensional time series with categorical attributes. The huge search
space is the main challenge, even for a small number of attributes and small
value sets, the number of theoretical combinations is too …

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