摘要： 介绍了一种根据数据集中项目的概念层次，利用变精度粗糙集模型对数据集进行划 分的方法，设计了相应的关联规则挖掘算法及并行算法，并通过测试分析了算法的挖掘效率 和影响挖掘效率的主要因素。
关键词:
数据挖掘,
关联规则,
粗糙集,
概念层次
Abstract: In this paper, a method of dataset partition using conceptual hierar chy and varvable precision rough set model is introduced. Algorithm of mining as sociation rule using this techinique is designed, and asynchronous algorithm is designed too. From the test result of algorithms, the efficiency of algorithms a nd the factors which affect the efficiency of algorithm are analyzed.
中图分类号:
王泉德,王先甲,王先培. 数据集划分及关联规则挖掘[J]. , 2003, 29(21): 22-23.
WANG Quande1, WANG Xianjia2, WANG Xianpei1. Dataset Partition and Association Rule Mining[J]. , 2003, 29(21): 22-23.