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QuantMiner is a Data Mining tool for mining Quantitative Association Rules that is taking into consideration numerical attributes in the mining process without a binning/discretization a priori of the data. It exploits a recent and innovative research in using genetic algorithms for mining quantitative rules published in IJCAI 2007. We hope you will find it useful and welcome your feedback.

If you publish material based on QuantMiner, then, please note the use of QuantMiner and its url. This will help others to obtain the system and replicate your experiments. We suggest the following reference format for referring to this software:

Salleb-Aouissi, A. Vrain, C. Nortet, C. (2007). QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules. In the Proceedings of the 20th International Conference on Artificial Intelligence IJCAI 2007, pp. 1035-1040. Hyberadad, India.

Here is the BiBTeX citation:

  author = {Ansaf Salleb-Aouissi and
  Christel Vrain and Cyril Nortet},
  title = {QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules}, booktitle = {IJCAI},
  year = {2007},
  pages = {1035-1040},
  ee = {http://dli.iiit.ac.in/ijcai/IJCAI-2007/PDF/IJCAI07-167.pdf}


For information on how to use QuantMiner and other related topics browse help



Authors: Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, and Daniel Cassard.
Institutions: CCLS Columbia University (USA), LIFO University of Orleans (France), BRGM (France).

QuantMiner is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License V3 as published by the Free Software Foundation. QuantMiner is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.


UC Berkeley, University of Michigan, University of Economics, Prague, LRI - Univ Paris-Sud- France, BIOptimize, and many others.