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, I.A. Nepomuceno-Chamorro and J.C. Riquelme. Discovering gene association networks by multi-objective evolutionary quantitative association rules. Journal of Computer and System Sciences, Volume 80, Issue 1 (2014), Page 118-136.
  3. M. Martínez-Ballesteros, S. Salcedo-Sanz, J.C. Riquelme, C. Casanova-Mateo and J.L. Camacho. Evolutionary association rules for total ozone content modeling from satellite observations. Chemometrics and Intelligent Laboratory Systems, Volume 109, Issue 2 (2011), Page 217-227.
  4. 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.
  5. M. Martínez-Ballesteros, A. Troncoso, 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, I.A. Nepomuceno-Chamorro and J.C. Riquelme. Inferring gene-gene associations from quantitative association rules, Proceedings of the 11th International Conference on Intelligent Systems Designe and Applications, ISDA 2011, pag: 1241-1246, ISBN: 978-1-4577-1676-8.
  3. M. Martínez-Ballesteros, C. Rubio-Escudero, J.C. Riquelme and F. Martínez-Álvarez. Mining quantitative association rules in microarray data using evolutive algorithms, Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, ICAART 2011, pag: 574-577, ISBN: 978-989842540-9.
  4. M. Martínez-Ballesteros and J.C. Riquelme. Analysis of Measures of Quantitative Association Rules, Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011, pag: 319-326, ISBN: 978-3-642-21221-5.
  5. 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.