Research on data mining models for the internet of things

Shen Bin, Liu Yuan, Xiaoyi Wang
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引用次数: 156

Abstract

In this paper, we propose four data mining models for the Internet of Things, which are multi-layer data mining model, distributed data mining model, Grid based data mining model and data mining model from multi-technology integration perspective. Among them, multi-layer model includes four layers: 1) data collection layer, 2) data management layer, 3) event processing layer, and 4) data mining service layer. Distributed data mining model can solve problems from depositing data at different sites. Grid based data mining model allows Grid framework to realize the functions of data mining. Data mining model from multi-technology integration perspective describes the corresponding framework for the future Internet. Several key issues in data mining of IoT are also discussed.
物联网数据挖掘模型研究
本文提出了四种物联网数据挖掘模型,即多层数据挖掘模型、分布式数据挖掘模型、基于网格的数据挖掘模型和多技术集成视角的数据挖掘模型。其中,多层模型包括四层:1)数据收集层,2)数据管理层,3)事件处理层,4)数据挖掘服务层。分布式数据挖掘模型可以解决数据在不同地点存放的问题。基于网格的数据挖掘模型允许网格框架实现数据挖掘的功能。多技术融合视角下的数据挖掘模型描述了未来互联网的相应框架。讨论了物联网数据挖掘中的几个关键问题。
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