Parallel Ensemble Techniques for Data Mining Application

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Provided by: International Journal of Computer Science and Business Informatics
Topic: Big Data
Format: PDF
Data mining is a powerful technique to extract hidden predictive information from large datasets. Classification is a very popular application of data mining. The goal of classification is to build a classifier with high accuracy and low cost. Since most data mining datasets are very large, using small subsets of the dataset can speedup data mining tasks. It is possible to generate a family of predictors using different subsets of training dataset and combine those predictors to achieve higher accuracy with low cost.
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