Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery-Reference-Cited by-同舟云学术

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Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery

Published:2021-11 Issue: Volume:26 Page:100252
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Guo Pei,Huang Yiyi^ORCID,Wang Jianwu^ORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference63 articles.

1. Causality: Models, Reasoning and Inference;Pearl,2009

2. A survey of learning causality with data: problems and methods;Guo;ACM Comput. Surv.,2020

3. Investigating causal relations by econometric models and cross-spectral methods;Granger;Econometrica,1969

4. Dynamic Bayesian Networks: Representation, Inference and Learning;Murphy,2002

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pairwise causal discovery with support measure machines;Applied Soft Computing;2024-01

2. A Weighted Ensemble Causal Discovery Method for Effective Connectivity Estimation;2023 IEEE Smart World Congress (SWC);2023-08-28

3. A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series;Symmetry;2023-04-26

4. Ensemble framework for causality learning with heterogeneous Directed Acyclic Graphs through the lens of optimization;Computers & Operations Research;2023-04

5. Large-Scale Causality Discovery Analytics as a Service;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

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