The Research for Multidimensional Association Rules Algorithm Based on MDPI

PENG Shuo; WU Hao

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The Research for Multidimensional Association Rules Algorithm Based on MDPI

更新时间：2026-09-04

- The Research for Multidimensional Association Rules Algorithm Based on MDPI
- Vol. 28, Issue 1, Pages: 78-82(2011)
- 作者机构：
  
  湖南大学计算机与通信学院,湖南,长沙,410082
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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彭硕, 吴昊. 基于MDPI的多维关联规则算法的研究[J]. 微电子学与计算机, 2011, 28(1): 78-82.

PENG Shuo, WU Hao. The Research for Multidimensional Association Rules Algorithm Based on MDPI[J]. 2011, 28(1): 78-82.
彭硕, 吴昊. 基于MDPI的多维关联规则算法的研究[J]. 微电子学与计算机, 2011, 28(1): 78-82. DOI：

PENG Shuo, WU Hao. The Research for Multidimensional Association Rules Algorithm Based on MDPI[J]. 2011, 28(1): 78-82. DOI：

摘要

多维关联规则是数据挖掘中的一个重要研究方向

由此提出了一种高效的多维关联规则挖掘算法

该方法通过引入MDPI-tree(多维谓词索引树)结构

有效地将数据立方体技术和频繁项集挖掘算法FP-Growth结合起来

能用于挖掘维间和混合维关联规则.最后将此算法应用于移动通信交叉销售模型

通过实验验证算法的有效性和实用性.

Abstract

Multidimensional data mining association rules is an important research direction.In this paper

we propose an efficient algorithm for mining multidimensial association rules

which combine data cube technique with FP-Growth efficiently by constructing a MDPI-tree

the algorithm can explores both inter-dimension and hybrid-dimension association rules.Lastly this algorithm is applied to cross-selling model of mobile communication

and we can verificate the practicality and effectiveness of the algorithm by experiment.

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