Application of algorithm theory to data mining

被引：0
|
作者：
Tokuyama, T [1 ]
机构：
[1] IBM Res Div, Tokyo Res Lab, Kanagawa 242, Japan
来源：
PROCEEDINGS OF THE 4TH AUSTRALASIAN THEORY SYMPOSIUM, CATS'98 | 1998年 / 20卷 / 03期
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Data mining is a major field in database applications, and is a key technology for future information business. Through our experience in developing the SONAR (System for Optimized Numeric Association Rules) data mining system, we demonstrate that algorithm theory is crucial in designing an efficient data mining system. In particular, we give algorithms for computing optimal association rules and efficient decision trees, which are fundamental tools in data mining. Details of the results in this survey can be found in [12, 13, 14, 15, 25, 26, 38].
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页码：5 / 19
页数：15
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