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基于工作流的数据挖掘PMML模型实现 被引量:3

An Implementation of Data Mining PMML Based on Work Flow
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摘要 随着计算机、数据仓库等技术的发展,数据挖掘在电信、银行等行业中得到了越来越广泛的应用.本文提出了应用PMML标准实现不同数据挖掘模型、工具间数据的传递的方法,同时将工作流应用到数据挖掘系统中,实现了由用户定制数据挖掘过程和选择算法的功能,解决了多个数据挖掘模型、算法间的互操作问题,同时运用工作流增强了数据挖掘系统用户自主定制和选择的能力. Data Mining plays a more and more important role in the research areas in the telecommunication and financial industries as the computer and database technologies are becoming mature. The paper proposes a data transfer method among different data mining tools by applying the PMML standards and integrates job flow (or control flow) into the data mining system to accomplish the specifications of data mining processes and the functions of algorithm selection. The method resolves the co-operation of multiple data mining systems and provides the flexibility for the users to define and select the data mining systems by integrating the control flow.
出处 《小型微型计算机系统》 CSCD 北大核心 2007年第5期891-894,共4页 Journal of Chinese Computer Systems
基金 国家自然科学基金项目(60275026)资助
关键词 数据挖掘 工作流 PMML标准 data mining work flow PMML
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参考文献7

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同被引文献25

  • 1王蓉,刘宏波,陈黎明.数据挖掘在XML的维修管理系统中的应用研究[J].微计算机信息,2007,23(3):174-175. 被引量:5
  • 2杨立,左春,王裕国.面向服务的知识发现体系结构研究与实现[J].计算机学报,2005,28(4):445-457. 被引量:16
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