Root Cause

Root cause analysis (RCA) aims to identify the underlying causes of system failures or anomalies across diverse domains, from autonomous driving to manufacturing and healthcare. Current research heavily emphasizes data-driven approaches, employing machine learning models like graph neural networks, transformers, and causal discovery algorithms (including Bayesian networks) to analyze complex datasets (often multimodal) and infer causal relationships. These advancements are improving the accuracy and efficiency of RCA, leading to faster troubleshooting, enhanced system reliability, and more informed decision-making in various industries. The development of large, publicly available datasets is also a significant focus, facilitating more robust benchmarking and algorithm comparison.

Papers

August 2, 2023

Using ScrutinAI for Visual Inspection of DNN Performance in a Medical Use Case
Rebekka Görge, Elena Haedecke, Michael Mock
Model Performance Root Cause Visual Inspection Visual Analytics Clinical Application Deep Neural Network Performance

July 19, 2023

Beyond Single-Feature Importance with ICECREAM
Michael Oesterle, Patrick Blöbaum, Atalanti A. Mastakouri, Elke Kirschbaum
High Explainability Feature Importance Root Cause Better Explainability Feature Explanation Using Contrasting Concept

June 20, 2023

PyRCA: A Library for Metric-based Root Cause Analysis
Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi
Causal Graph Easy to Use Library Root Cause Causal Analysis Causal Discovery Method

May 27, 2023

Counterfactual Formulation of Patient-Specific Root Causes of Disease
Eric V. Strobl
Common Disease Root Cause Counterfactual Method Causal Score

May 18, 2023

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
Causal Graph Root Cause Trigger Point Disentangled Causal

May 5, 2023

Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems
Zeyan Li, Junjie Chen, Yihao Chen, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei
Root Cause Social Generic Butterfly Effect

March 7, 2023

Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops
Charles K. Assaad, Imad Ez-zejjari, Lei Zan
Time Series Causal Graph Causal Relation Root Cause Level Loop Summary Causal Graph Collective Anomaly

February 3, 2023

Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
Graph Neural Network Causal Discovery Root Cause Causal Network

January 31, 2023

January 18, 2023

CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots
Md Abir Hossen, Sonam Kharade, Bradley Schmerl, Javier Cámara, Jason M. O'Kane, Ellen C. Czaplinski, Katherine A. Dzurilla, David Garlan, Pooyan Jamshidi
Robotic System Causal Model Root Cause Physical Robot CaRE SD Robot Performance System Configuration Defect Sample

January 10, 2023

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
Domain Knowledge Root Cause Production Incident Incident Management Adaptive Mitigation Cloud Incident

December 8, 2022

On Root Cause Localization and Anomaly Mitigation through Causal Inference
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Anomaly Detection Causal Inference Causal Direction Root Cause Deep Anomaly Detection

December 1, 2022

AI Empowered Net-RCA for 6G
Chengbo Qiu, Kai Yang, Ji Wang, Shenjie Zhao
Root Cause Legacy Networking Technology

October 27, 2022

Sample-Specific Root Causal Inference with Latent Variables
Eric V. Strobl, Thomas A. Lasko
Causal Inference Causal Graph Latent Variable Root Cause Causal Analysis

June 30, 2022

A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes
Wenzhuo Yang, Kun Zhang, Steven C. H. Hoi
Causal Pattern Root Cause Detecting Anomaly Multivariate Time Series Anomaly Detection Causal Approach Causal System Local Effect

June 26, 2022

Explaining the root causes of unit-level changes
Kailash Budhathoki, George Michailidis, Dominik Janzing
Explainable AI High Quality Counterfactuals Game Theory Root Cause Pre Change Information

June 13, 2022

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition
Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei
Causal Inference Root Cause Causal Event Causal Inference Task Causal Bayesian Network

May 25, 2022

Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model
Eric V. Strobl, Thomas A. Lasko
Causal Inference Root Cause Heteroscedastic Noise

May 23, 2022

Identifying Patient-Specific Root Causes of Disease
Eric V. Strobl, Thomas A. Lasko
Causal Inference Common Disease Root Cause Effect Size