摘要
构建数据挖掘算法模型是数据挖掘技术研究的重点和难点。层次分析法是一种定性与定量相结合的多准则决策方法.可以将人的主观判断用数量形式表达和处理。研究和实现基于层次分析法的数据挖掘技术,可进一步拓宽数据挖掘算法模型的类型,对数据挖掘技术的应用具有普遍意义。
Building the data mining algorithms and models is the focus and difficulty of the study in the data mining field. The Analytic Hierarchy Process is a kind of multiple-criterion measures combined quality and quantity to illustrate subjective judgment in quantitative index. Researching and achieving data mining technology that based-on the Analytic Hierarchy Process can further expand the types of Data Mining algorithms and models, and also have a universal meaning to the application of the Data Mining technology.
作者
范鹏轩
陈松
孙静
FAN Peng-xuan, CHEN Song, SUN Jing (1.School of Information Science and Engineering, Chongqing Jiaotong Univ., Chongqing 400074, China;2.Zhengzhou Electronic Information Vocational & Technical College, Zhengzhou 451450, China )
出处
《电脑知识与技术》
2008年第12期1542-1544,共3页
Computer Knowledge and Technology
关键词
数据挖掘
数据挖掘算法
层次分析法
判断矩阵
Data Mining
the Analytic Hierarchy Process
Data Mining Algorithm
Comparison measuring