基于数据流的移动数据挖掘研究综述  

Survey of Mobile Data Mining on Data Stream

作　　者：邓维维[1] 彭宏[1] 郑启伦[1] 

机构地区：[1]华南理工大学计算机科学与工程学院,广东广州510641

出　　处：《计算机应用研究》2007年第1期5-9,共5页Application Research of Computers

基　　金：国家自然科学基金重点项目(30230350);广东省科学公关资助项目(2005B10101033;2004A10202001)

摘　　要：无线网络和移动设备的应用为我们带来巨大的便利,可以随时随地获得信息,同时它也引发了对高效数据流分析工具的需求。移动数据挖掘是在普适环境下的数据流挖掘,从连续的数据流中发现知识。讨论了数据流、数据流管理系统和移动数据挖掘以及它们的特点,介绍了该领域的一些研究成果,突出了面临的挑战和一些相应的策略,并对这些策略进行了比较,最后展望了这一领域的研究前景。Wireless networks and mobile devices, which had brought lots of convenience to our daily life and made us much easier to get information any time and any where, now had motivates the needs for efficient tools analyzing data streams. Mobile data mining is concerned with data stream mining under the ubiquitous environment, discovering knowledge from continuous data streams. This paper is a survey of this new research field. The data stream and mobile data mining was introduced first, and then some analysis of the current researches and the existent problems of mobile data mining were discussed. In addition, the existing challenges and the strategies addressing them were highlighted. The prospects for this field were given at the end.

关 键 词：移动数据挖掘 数据挖掘 数据流 普适计算 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]