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Towards Automated Causal Discovery: a case study on 5G telecommunication data
Feb. 23, 2024, 5:42 a.m. | Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos
cs.LG updates on arXiv.org arxiv.org
Abstract: We introduce the concept of Automated Causal Discovery (AutoCD), defined as any system that aims to fully automate the application of causal discovery and causal reasoning methods. AutoCD's goal is to deliver all causal information that an expert human analyst would and answer a user's causal queries. We describe the architecture of such a platform, and illustrate its performance on synthetic data sets. As a case study, we apply it on temporal telecommunication data. The …
abstract analyst application arxiv automate automated case case study concept cs.lg data discovery expert human information reasoning stat.me study telecommunication type
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