loading
Documents

Research.Publish.Connect.

Paper

Authors: Walisson Ferreira 1 ; Mark Song 2 and Luis Zarate 2

Affiliations: 1 Centro Universitário UNA, Brazil ; 2 Pontificia Universidade Católica de Minas Gerais, Brazil

ISBN: 978-989-758-423-7

Keyword(s): Causal Inference, Formal Concept Analysis, FCA, Markov Equivalence, Causal Bayesian Networks, Causal Relationship, Bayesian Networks, Attributes Implication.

Abstract: One of the problems during the construction of Causal Bayesian Network based on constraint algorithms occurs when it is not possible to orient edges between nodes due to Markov Equivalence. In this scenario this article presents the use of Formal Concept Analysis (FCA), specially attributes implication, as an alternative to support the definition of the direction of the edges. To do this it was applied algorithms of Bayesian learners (PC) and FCA in a data set containing 12 attributes and 5,473 records of surgeries performed in Belo Horizonte - Brazil. According to the results, although attribute implication did not necessarily mean causality, the implication rules were useful in defining edges orientation on the Bayesian network learned by PC Algorithm. The results of FCA were validated through intervention using do-calculus and by an expert in the domain. Therefore, as result of this paper, it is presented a heuristic to direct edges between nodes when the direction is unknown.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.187.106

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ferreira, W.; Song, M. and Zarate, L. (2020). An FCA-based Approach to Direct Edges in a Causal Bayesian Network: A Pilot Study using a Surgery Data Set.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 116-123. DOI: 10.5220/0009392101160123

@conference{iceis20,
author={Walisson Ferreira. and Mark Song. and Luis Zarate.},
title={An FCA-based Approach to Direct Edges in a Causal Bayesian Network: A Pilot Study using a Surgery Data Set},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={116-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009392101160123},
isbn={978-989-758-423-7},
}

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An FCA-based Approach to Direct Edges in a Causal Bayesian Network: A Pilot Study using a Surgery Data Set
SN - 978-989-758-423-7
AU - Ferreira, W.
AU - Song, M.
AU - Zarate, L.
PY - 2020
SP - 116
EP - 123
DO - 10.5220/0009392101160123

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.