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The cancer classification through gene expression patterns becomes one of the most promising applications of the microarray technology. It is also a significant procedure in bioinformatics. In this study a grid computing based evolutionary mining approach is proposed as discriminant function for gene selection and tumor classification. The proposed approach is based on the grid computing infrastructure...
Ensemble has been proved a successful approach for enhancing the performance of single classifiers. But there are two key factors influencing the performance of an ensemble directly: accuracy of each single member and diversity between the members. There have been many approaches used in the literature to create the mentioned diversity. In this paper we add a novel approach, in which classifier type...
Association rule-based classification is one of the most important data mining techniques applied to many scientific problems. In the last few years, extensive research has been carried out to develop enhanced methods and obtained higher classification accuracies than traditional classifiers. However, the current studies show that the association rule-based classifiers may also suffer some problems...
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