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BALANCE: Bayesian Linear Attribution for Root Cause Localization

Summary: BALANCE applies Bayesian linear attribution (BMFS) to predict KPIs from candidate root causes, promoting sparsity while handling multicollinearity. It performs backward attribution with KPI merging for RCA, delivering real-time localization and measurable accuracy gains across diverse RCA tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6598
Venue
SIGMOD
Year
2023
Pagerank
4.8925595e-05
Overall Rank
6,901 | 52.00%
DOI
10.1145/3588949

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Rank Citing Paper Year Venue Pagerank
11,125 DB-MAGS: Multi-Anomaly Data Generation System for Transactional Databases 2024 VLDB 4.1945683e-05
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