Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
M. Martínez-Ballesteros, Alicia Troncoso, Francisco Martinez Alvarez, José C. Riquelme · Integrated Computer-Aided Engineering · 2010
This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, a real-coded genetic algorithm that extends the well-known binary-coded CHC algorithm has been projected to determine the interva