@inbook{178b23a6f13441c1aa62e42137156ab3,
title = "Extraction of Patterns to Support Dairy Culling Management: 15th International Conference, MDAI 2018, Mallorca, Spain, October 15–18, 2018, Proceedings",
abstract = "The management of a dairy farm involves taking decisions such as culling a subset of cows to improve the dairy production. Culling is the departure of cows from the herd due to sale, slaughter or death. Commonly the culling process is based on the farmer experience but there is not a general procedure to carry it out. In the present paper we use both, a method based on indistinguishability relations and the anti-unification concept, to extract patterns that characterise the cows according to their average milk production of the first lactation. Our goal is to identify as soon as possible poorly productive cows during her first lactation, which may be candidates to be culled.",
keywords = "Anti-unification concept, Artificial intelligence, Dairy farms, Indistinguishability relations, Machine learning, Milk production, Veterinary, Voluntary culling",
author = "M. L{\'o}pez-Su{\'a}rez and E. Armengol and S. Calsamiglia and L. Castillejos",
year = "2018",
month = oct,
day = "15",
doi = "10.1007/978-3-030-00202-2\_11",
language = "Indefinido/desconocido",
isbn = "9783030002015",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "131--142",
editor = "Vicenc Torra and Vicenc Torra and Yasuo Narukawa and Manuel Gonz{\'a}lez-Hidalgo and Isabel Aguilo",
booktitle = "Modeling Decisions for Artificial Intelligence - 15th International Conference, MDAI 2018, Proceedings",
}