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基于层次分析法的数据挖掘技术研究与应用 被引量:2

The Research and Application of Data Mining Based on AHP
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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
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  • 1[1]Robert Groth. Data Mining:Building competitive advantage[M].USA: Prentiee-Hall Ptr, 1999
  • 2[2]Chen Lei-da et al.Data mining methods,applications,tools[J].Information Systems Management ,2000; 17( 1 ) :65~70
  • 3[3]H Mannila,Ht Toivonen et al.Efficient algorithms for discovering as sociation rules[C].In: Knowledge Discovery in Databases (KDD'94), AAAI Press, 1994:181~192
  • 4[4]F H Grupe,M M Owrang.data base mining[J].Information SystemsManagement, 1995; 12 (4): 26~31
  • 5[5]R L Scheier. Finding pearls in an ocean of data[J].Computerworld,2001 ;35(30) :49~50
  • 6[6]N Melab. Data mining:A key eontribution to E-business[J].Information & Communications Technology Law,2001; 10(3) :309~318
  • 7[7]L Scott Tillett. Banks mine customer data[J].InternetWeek,2000;831: 45 ~46
  • 8[8]Larry Stevens.It sharpens data mining's focus[J].InternetWeek,2001; 872:29~30
  • 9[9]Neena Buck. Eureka!Knowledge discovery[J].Software Magazine.2000-12/ 2001-01 ;20(6) :24~29
  • 10[10]M J Norton. Knowledge discovery in databases[J].Library Trends. 1999 ;48( 1 ) :9~21

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