Discovering Fully Oriented Causal Networks

Mian, Osman A.; Marx, Alexander; Vreeken, Jilles

doi:10.1609/aaai.v35i10.17085

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Discovering Fully Oriented Causal Networks

Mian, O. A., Marx, A., & Vreeken, J. (2021). Discovering Fully Oriented Causal Networks. In Thirty-Fifth AAAI Conference on Artificial Intelligence (pp. 8975-8982). Palo Alto, CA: AAAI. doi:10.1609/aaai.v35i10.17085.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-0BCB-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-A098-3

Genre: Conference Paper

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Creators:
Mian, Osman A.¹, Author
Marx, Alexander², Author
Vreeken, Jilles², Author

Affiliations:
1External Organizations, ou_persistent22
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018

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Language(s): eng - English

Dates: Accepted: 2021Published Online: 2021

Publication Status: Published online

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: mian:20:globe
DOI: 10.1609/aaai.v35i10.17085

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Title: The Thirty-Fifth Conference on Artificial Intelligence

Place of Event: Vancouver, Canada

Start-/End Date: 2021-02-02 - 2021-02-09

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Title: Thirty-Fifth AAAI Conference on Artificial Intelligence

Abbreviation : AAAI 2021

Subtitle : AAAI-21 Technical Tracks 10

Source Genre: Proceedings

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Affiliations:

Publ. Info: Palo Alto, CA : AAAI

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 8975 - 8982 Identifier: ISBN: 978-1-57735-866-4