数据挖掘技术标准综述  

Survey of Data Mining Technology Standards

作　　者：刘明亮[1] 李雄飞[1] 孙涛[1] 许晓晴[1] 

机构地区：[1]吉林大学计算机科学与技术学院,长春130012

出　　处：《计算机科学》2008年第6期5-10,14,共7页Computer Science

基　　金：国家自然科学基金(60373097);中国博士后科学基金(2004035170)资助

摘　　要：随着数据挖掘技术应用日趋广泛,涌现出各种挖掘工具和系统。为规范相应的软件开发和数据交换方法,制订数据挖掘技术规范和标准成为当务之急。在将数据挖掘标准划分为过程标准、接口标准、语言标准和Web标准等四类进行分析介绍后,给出一个综合多种标准的应用程序框架,最后总结出数据挖掘标准化领域面临的问题和挑战,并对发展趋势予以展望。With the increasing use of data mining techniques,various data mining tools and systems have come forth. It is urgent to constitute data mining technology criterions and standards in order to standardize the methods of software development and data exchange. We have consolidated all the current popular data mining standards and divided them into four kinds： process standards,interface standards,language standards and Web standards. In this paper, we first illustrate these four categories of standards respectively, and then design an application framework using these standards, at last summarize the problems and challenges that exist in the domain of data mining standards and view the future development of data mining standards.

关 键 词：数据挖掘 技术标准 紧密耦合 应用程序架构 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TQ330.7[自动化与计算机技术—计算机科学与技术]