数据挖掘技术标准综述

Survey of Data Mining Technology Standards

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.