Map-Reduce在不平衡数据分类中的应用

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-03 DOI:10.1109/INISTA.2017.8001127

J. Jędrzejowicz, Jakub Neumann, Piotr Synowczyk, Magdalena Zakrzewska

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引用次数: 1

摘要

本文的目的是将MapReduce范式应用于SplitBal算法，该算法对不平衡数据集进行分类，并对不同参数的结果进行评估。耗时操作的并行化允许对更大的数据集进行分类，从大数据的角度来看。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Applying Map-Reduce to imbalanced data classification

The aim of the paper was to apply MapReduce paradigm to the algorithm SplitBal which classifies imbalanced datasets and perform the evaluation of results for different parameters. Parallelization of time consuming operations allows to classify larger datasets, in perspective Big Data.

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来源期刊

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)

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