Survey on data analytics techniques in healthcare using IOT platform

Gokulnath Chandra Babu, Shantharajah S. Periyasamy
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引用次数: 9

Abstract

The large amount of data generated by internet of things (IOT) has high impact values, the mining algorithms with IOT used to get the meaningful information that has been hidden in the data. In this paper a system designed to review the data in the knowledge view, technique view and application view, including clustering, classification, time series, association, outlier analysis and the application used in mining algorithm are surveyed. As more and more devices connected to internet of things, large volume of data should be analysed. At last architecture has been suggested for big data mining system.
使用物联网平台的医疗保健数据分析技术调查
物联网(IOT)产生的大量数据具有很高的影响价值,物联网挖掘算法用于挖掘隐藏在数据中的有意义的信息。本文从知识视图、技术视图和应用视图对数据进行了综述,包括聚类、分类、时间序列、关联、离群值分析以及在挖掘算法中的应用。随着越来越多的设备连接到物联网,需要分析大量的数据。最后提出了大数据挖掘系统的体系结构。
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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