{"type":"ScholarlyArticle","title":"QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules","authors":[{"name":"Ansaf Salleb-Aouissi","slug":"ansaf-salleb-aouissi","given":"Ansaf","family":"Salleb-Aouissi","affiliation":""},{"name":"Christel Vrain","slug":"christel-vrain","given":"Christel","family":"Vrain","affiliation":"* CCLS , Columbia University 475 Riverside Drive New York NY 10115 USA; * LIFO , Université d'Orléans Rue Léonard de Vinci BP 6759 45067 Orléans cedex 02 France"},{"name":"Cyril Nortet","slug":"cyril-nortet","given":"Cyril","family":"Nortet","affiliation":"* CCLS , Columbia University 475 Riverside Drive New York NY 10115 USA"}],"abstract":"In this paper, we propose QuantMiner, a mining quantitative association rules system. This system is based on a genetic algorithm that dynamically discovers good intervals in association rules by optimizing both the support and the confidence. The experiments on real and artificial databases have shown the usefulness of QuantMiner as an interactive data mining tool. Keywords: Association rules, quantitative (numeric) attributes, unsupervised discretization, genetic algorithm","doi":null,"url":"https://ijcai.org/proceedings/2007/167","pdf":"https://ijcai.org/proceedings/2007/0167.pdf","markdown":"https://ijcai.org/proceedings/2007/167.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/167","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":167,"pages":{"first":1035,"last":1039},"keywords":[],"videos":[],"references":[{"position":1,"raw":"[Agrawal et al., 1993] R. Agrawal, T. Imielinski, and A. N. Swami. Mining association rules between sets of items in large databases. 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