Mining fuzzy quantitative association rules

被引：6
|
作者：
Subramanyam, R. B. V. [1 ]
Goswami, A. [1 ]
机构：
[1] Indian Inst Technol, Dept Math, Kharagpur 721302, W Bengal, India
来源：
EXPERT SYSTEMS | 2006年 / 23卷 / 04期
关键词：
fuzzy association rules; frequent itemsets; fuzzy grids; data mining;
D O I：
10.1111/j.1468-0394.2006.00402.x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The concept of fuzzy sets is one of the most fundamental and influential tools in the development of computational intelligence. In this paper the fuzzy pincer search algorithm is proposed. It generates fuzzy association rules by adopting combined top-down and bottom-up approaches. A fuzzy grid representation is used to reduce the number of scans of the database and our algorithm trims down the number of candidate fuzzy grids at each level. It has been observed that fuzzy association rules provide more realistic visualization of the knowledge extracted from databases.
引用
收藏
页码：212 / 225
页数：14
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