From Logs to Causal Analysis: A Guided User Interface for Causal Graph Discovery
In a world full of digital systems, logs are found everywhere. From distributed systems logging network events to stock exchanges logging transactions, preserving information in logs is a widely-used practice. Our group’s hope is that logs can preserve events and system states at various points in t...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2024
|
| Online Access: | https://hdl.handle.net/1721.1/154021 |