Abstract:Classification technique in data mining focuses on prediction which is done by classical C4.5 decision tree algorithm, but limited by its computation complexities due to large datasets. However, this results to inefficient implementation of the algorithm with reference to computing time, memory utilization and data complexity. Meanwhile, several researches have been done to curb these limitations. One of such improvements is the parallelizing of the algorithm using the MapReduce model. This involves splitting … Show more
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