摘要
如何从WSN数据中挖掘有用的知识,是WSN数据处理中较为核心的问题之一。WSN数据具有多维度、多层次等流数据特点,传统数据挖掘技术较难直接应用于无线传感器网络,发展能够在线分析和处理无线传感器的数据挖掘技术是至关重要的。本文对现有WSN数据挖掘技术进行了相关对比研究,并且提出了WSN分布式数据挖掘工作流框架。该框架清晰的展示了无线传感器网络流数据分布式处理流程,为处理该类数据挖掘提供一个可行的研究方向。
How to mine useful knowledge is one of the core issues in WSN data processing. The traditional data mining techniques cannot be applied to WSN area directly because WSN data flow is multi-dimensional and of multi-level etc. Thus, it is important to develop new data mining technologies for WSN data online analysis and processing. In this paper, the existing WSN data mining technologies were studied, and a WSN distributed data mining workflow framework was proposed. The framework displays a WSN flow data distributed processing, and provides a feasible WSN data mining research direction.
出处
《科技广场》
2014年第5期34-38,共5页
Science Mosaic
