Data Mining Meets Evolutionary Computation: A New Framework for Dynamic and Scalable Evolutionary Data Mining based on Non-Stationary Function Optimization

Abstract

Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving data streams created a crucial need for dynamic data mining. In this paper, we present a genetic algorithm based on a new representation mechanism that allows several phenotypes to… (More)

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Cite this paper

@inproceedings{Nasraoui2005DataMM, title={Data Mining Meets Evolutionary Computation: A New Framework for Dynamic and Scalable Evolutionary Data Mining based on Non-Stationary Function Optimization}, author={Olfa Nasraoui and Carlos Rojas and Cesar Cardona}, year={2005} }