Association Rule Mining Bibliography

Journal articles

  1. M. Martínez-Ballesteros, F. Martínez-Álvarez, A. Troncoso and J.C. Riquelme. Selecting the best measures to discover quantitative association rules. Neurocomputing, Volume 126, 2014, Page 3-14.
  2. M. Martínez-Ballesteros, F. Martínez-Álvarez, A. Troncoso and J.C. Riquelme. An evolutionary algorithm to discover quantitative association rules in multidimensional time series. Soft Computing, Volume 15, Issue 10 (2011), Page 2065-2084.
  3. M. Martínez-Ballesteros, A. Troncos, F. Martínez-Álvarez and J.C. Riquelme. Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution. Integrated Computer-Aided Engineering, Volume 17, Issue 3 (2010), Page 227-242.

Conference contributions

  1. M. Martínez-Ballesteros, F. Martínez-Álvarez, A. Troncoso and J.C. Riquelme. A Sensitivity Analysis for Quality Measures of Quantitative Association Rules, Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2013, pag: 578-587, ISBN: 978-3-642-40845-8.
  2. M. Martínez-Ballesteros, F. Martínez-Álvarez, A. Troncoso and J.C. Riquelme. Quantitative Association Rules Applied to Climatological Time Series Forecasting, Proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009, pag: 284-291, ISBN: 978-3-642-04393-2.