An alternative approach to mining association rules

被引：0

作者：

Rauch, J ^{[1
]}

Simunek, M ^{[1
]}

机构：

[1] Univ Econ, Fac Informat & Stat, Prague 13067 3, Czech Republic

来源：

Foundations of Data Mining and Knowledge Discovery | 2005年 / 6卷

关键词：

data mining; association rules; procedure; 4ft-Miner; system LISp-Miner; bit string approach to data mining;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An alternative approach to mining association rules is presented. It is based on representation of analysed data by suitable strings of bits. This approach was developed for the GUHA method of mechanising hypothesis formation more than 30 years ago. The procedure 4ft-Miner that is contemporary application of this approach is described. It mines for various types of association rules including conditional association rules. The 4ft-Miner procedure is a part of the academic system LISp-Miner for KDD research and teaching.

引用

页码：211 / 231

页数：21

共 17 条

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