Brussels, Belgium Belgium
Dec. 10, 2012 to Dec. 10, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2012.44
We present the work in progress on a rule mining algorithm for regression using particle swarm optimization (PSO). Sub problems occuring during development involve the encoding of rules as particles and suitable PSO parameter tuning. A key subtask is the selection of a good rule learning heuristic. We introduce a novel heuristic for which preliminary results show promise.
Training, Educational institutions, Measurement, Data mining, Particle swarm optimization, Regression tree analysis, Linear programming, heuristic, regression, rule mining, particle swarm optimization
Bart Minnaert, David Martens, "Towards a Particle Swarm Optimization-Based Regression Rule Miner", ICDMW, 2012, 2013 IEEE 13th International Conference on Data Mining Workshops, 2013 IEEE 13th International Conference on Data Mining Workshops 2012, pp. 961-963, doi:10.1109/ICDMW.2012.44