Research on Data Mining Models for the Internet of Things
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.
Internet of Things data mining models RFID technology
Shen Bin Liu Yuan Wang Xiaoyi
Ningbo Institute of Technology, Zhejiang University Ningbo, China College of Management, Zhejiang University Hanezhou, China
国际会议
2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)
厦门
英文
127-132
2010-04-12(万方平台首次上网日期,不代表论文的发表时间)