面向服务的传感器网络分布式数据挖掘系统

Xuguang Ye, Yigang He, Lei Wu
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引用次数: 4

摘要

如今,微型和可移动设备在许多领域得到了广泛的应用。在这些领域中,存在着大量的数据电文。第四代数据挖掘软件正在尝试分析这些领域的数据。我们需要解决的问题是随着时间的推移而变化的,为了设计一个可以工作更长时间的系统,它必须是适应性的。由于其灵活和可扩展的体系结构,SOA正在成为企业级设备软件的标准。本文首先指出了数据挖掘的研究方向,然后介绍了无线传感器网络数据挖掘的研究,设计了面向服务的传感器网络数据挖掘系统,包括分布式k-means、多目标跟踪、改进的FDM三种算法,描述了多目标跟踪的实现,并将改进的FDM算法与FDM算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Service Oriented Distributed Data Mining System in Sensor Network
Nowadays micro and movable devices are widely used in many fields. In these fields, many data message exist. The fourth generation data mining software is trying to analysis data in these areas. The problems we need to solve are changing as the time past, to design a system which can be working longer, it must be adaptive. SOA is becoming to be the standard of appliance software on enterprise level because of it’s flexible and expandable architecture. This paper first points out the direction of data mining research, then describes study on wireless sensor network data mining, designs the Service Oriented Sensor Network Data Mining System, includes three algorithm: distributed k-means, multi target tracking, improved FDM, describes the implement of multi target tracking and compares the improved FDM algorithm with FDM.
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