Comparing approaches to prepare data in classification problems

P. Gonçalves, Roberto S. M. Barros
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引用次数: 1

Abstract

This paper presents a comparison between DMPML and three data mining applications (Weka, RapidMiner, and KN-IME) that implement the directed graph approach, concerning the time spent to create and execute the data preparation tasks for two data mining algorithms. The tests were executed using different types of data sets: numerical, categorical, and mixed. We observed that the scheme used by the DMPML framework can simplify the usage of different data mining algorithms and reduce the time spent creating the data preparation tasks.
分类问题中数据准备方法的比较
本文比较了DMPML和实现有向图方法的三种数据挖掘应用程序(Weka、RapidMiner和KN-IME),比较了两种数据挖掘算法创建和执行数据准备任务所花费的时间。测试使用不同类型的数据集执行:数值、分类和混合。我们观察到DMPML框架所使用的方案可以简化不同数据挖掘算法的使用,并减少创建数据准备任务所花费的时间。
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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