jmlr jmlr2013 jmlr2013-89 jmlr2013-89-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, Daniel Cassard
Abstract: In this paper, we propose Q UANT M INER, 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 Q UANT M INER as an interactive, exploratory data mining tool. Keywords: association rules, numerical and categorical attributes, unsupervised discretization, genetic algorithm, simulated annealing
R. Agrawal, T. Imielinski, and A. N. Swami. Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD, pages 207–216, 1993. J. Alcal´ -Fdez, N. Flugy Pap` , A. Bonarini, and F. Herrera. Analysis of the effectiveness of the a e genetic algorithms based on extraction of association rules. Fundam. Inform., 98(1):1–14, 2010. 3156 Q UANT M INER Y. Aumann and Y. Lindell. A statistical theory for quantitative association rules. In Knowledge Discovery and Data Mining, pages 261–270, 1999. S. Brin, R. Rastogi, and K. Shim. Mining optimized gain rules for numeric attributes. IEEE Trans. Knowl. Data Eng., 15(2):324–338, 2003. T. Fukuda, Y. Morimoto, S. Morishita, and T. Tokuyama. Mining optimized association rules for numeric attributes. In Proc. of the fteenth ACM SIGACTSIGMOD -SIGART PODS’96, pages 182–191. ACM Press, 1996. J. Mata, J. L. Alvarez, and J. C. Riquelme. An evolutionary algorithm to discover numeric association rules. In Proceedings of the ACM SAC’2002, pages 590–594, 2002. A. Salleb-Aouissi, C. Vrain, and C. Nortet. Quantminer: A genetic algorithm for mining quantitative association rules. In IJCAI, pages 1035–1040, 2007. R. Srikant and R. Agrawal. Mining quantitative association rules in large relational tables. In Proc. of the ACM SIGMOD, pages 1–12, 1996. 3157