ML Anthology

QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules

Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet
IJCAI 2007 pp. 1035-1040
/ijcai/2007/sallebaouissi2007ijcai-quantminer/

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

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Text

Salleb-Aouissi et al. "QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules." International Joint Conference on Artificial Intelligence, 2007.

Markdown

[Salleb-Aouissi et al. "QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/sallebaouissi2007ijcai-quantminer/)

BibTeX

@inproceedings{sallebaouissi2007ijcai-quantminer,
  title     = {{QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules}},
  author    = {Salleb-Aouissi, Ansaf and Vrain, Christel and Nortet, Cyril},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {1035-1040},
  url       = {https://mlanthology.org/ijcai/2007/sallebaouissi2007ijcai-quantminer/}
}