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Some top data mining algorithms, as ensemble classifiers, may be inefficient to very large data set. This paper makes an initial proposal of a distributed ensemble classifier algorithm based on the popular Random Forests for Big Data. The proposed algorithm aims to improve the efficiency of the algorithm by a distributed processing model called MapReduce. At the same time, our proposed algorithm aims...
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