Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution

M. Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez‐Álvarez, José C. Riquelme

Integrated Computer-Aided Engineering · 2010 · 56 citations · 27 references

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Abstract

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

References

27