Association Rule Mining to Shortlist Plant Phenolic Compounds Likely to Decrease Methane Emissions by Ruminants

Sylvie Guillaume; Didier Macheboeuf

doi:10.1007/978-3-030-90287-2_7

Book Sections Year : 2022

Association Rule Mining to Shortlist Plant Phenolic Compounds Likely to Decrease Methane Emissions by Ruminants

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Sylvie Guillaume

Function : Author

Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

Didier Macheboeuf

Function : Author
PersonId : 744576
IdHAL : didier-macheboeuf
ORCID : 0000-0003-1244-8227

Unité Mixte de Recherche sur les Herbivores - UMR 1213

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Computer Science [cs] Artificial Intelligence [cs.AI] Life Sciences [q-bio] Agricultural sciences Animal production studies

Didier Macheboeuf : Connect in order to contact the contributor

https://hal.inrae.fr/hal-03616006

Submitted on : Tuesday, March 22, 2022-10:05:21 AM

Last modification on : Wednesday, April 13, 2022-3:40:15 AM

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hal-03616006 , version 1 (22-03-2022)

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HAL Id : hal-03616006 , version 1
DOI : 10.1007/978-3-030-90287-2_7

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Sylvie Guillaume, Didier Macheboeuf. Association Rule Mining to Shortlist Plant Phenolic Compounds Likely to Decrease Methane Emissions by Ruminants. Advances in Knowledge Discovery and Management, 1004, Springer International Publishing, pp.129-158, 2022, Studies in Computational Intelligence, ⟨10.1007/978-3-030-90287-2_7⟩. ⟨hal-03616006⟩

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Association Rule Mining to Shortlist Plant Phenolic Compounds Likely to Decrease Methane Emissions by Ruminants

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