QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 1035-1039.
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
Ansaf Salleb-Aouissi, Christel Vrain, and Cyril Nortet. 2007. QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 1035–1039. https://ijcai.org/proceedings/2007/167
Salleb-Aouissi, A., Vrain, C., & Nortet, C. (2007). QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 (pp. 1035–1039). IJCAI. https://ijcai.org/proceedings/2007/167
@inproceedings{ijcai2007p167,
title = {QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules},
author = {Salleb-Aouissi, Ansaf and Vrain, Christel and Nortet, Cyril},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {1035--1039},
year = {2007},
url = {https://ijcai.org/proceedings/2007/167},
}
TY - CPAPER TI - QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules AU - Salleb-Aouissi, Ansaf AU - Vrain, Christel AU - Nortet, Cyril T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 1035 EP - 1039 UR - https://ijcai.org/proceedings/2007/167 ER -Copied
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