Data mining in cloud usage data with Matlab's statistics and machine learning toolbox

M. Miskuf, P. Michalik, I. Zolotová
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引用次数: 4

Abstract

This paper focuses on use of Matlab for data mining. There is wide range of data mining software where free or cheaper solutions offer similar possibilities. We wanted to try Matlab for these purposes. Our data consists of parameters, which describes cloud usage at IT company that offers cloud services. We used phases from the CRISP-DM methodology in our work. We built clustering and classification models that use functions of the Statistics and Machine Learning Toolbox. In the conclusion we summarize our outcomes, weather Matlab is appropriate to data analysis based on conducted experiments.
使用Matlab的统计和机器学习工具箱进行云数据挖掘
本文重点介绍了利用Matlab进行数据挖掘。有很多数据挖掘软件,其中免费或更便宜的解决方案提供了类似的可能性。我们想尝试用Matlab来实现这些目的。我们的数据由参数组成,这些参数描述了提供云服务的IT公司的云使用情况。我们在工作中使用了CRISP-DM方法的各个阶段。我们使用统计学和机器学习工具箱的功能建立了聚类和分类模型。在结论中我们总结了我们的结果,天气Matlab适用于基于已进行的实验的数据分析。
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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