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›› 2005, Vol. 31 ›› Issue (09): 26-.

• 论文 • 上一篇    下一篇

一种基于进制转换的数值型关联规则分析方法

刘均,李人厚,郑庆华   

  1. 西安交通大学电信学院,西安交通大学电信学院,西安交通大学电信学院 西安 710049
  • 发布日期:2005-05-15

A Method for Quantitative Association Rule Mining Based on Decimal-binary Conversion

LIU Jun, LI Renhou, ZHENG Qinghua   

  1. ( College of Electronics and Communication, Xi’an Jiaotong University, Xi’an 710049)
  • Published:2005-05-15

摘要: 针对基于区间划分的数值型关联规则分析方法存在的问题,提出了一种基于进制转换的分析方法。此方法将十进制的属性值转换为二进制,并将二进制数值的每一位映射为二个布尔型属性,在此基础上,再采用布尔型关联规则分析方法。相对于基于区间划分的方法,此方法的优点是转化过程不存在失真,且能有效地降低后续分析过程的时间复杂度。

关键词: 数值型关联规则, 布尔型关联规则, 完整模式, 进制转换

Abstract: Aiming at the issues on the method of quantitative association rule mining based on section partition,this paper introduces a method based on decimal-binary conversion. In the method, all numeric values are converted into the binary values, and then each digit of binary values is mapped to two Boolean attributes, the method of BAR mining is adopted for analyzing the association rules between the Boolean attributes. The advantages of this method is that no distortion is introduced during type conversion of source data, and the complexity of sequent BAR mining can be reduced efficiently.

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