摘要
关联规则发现是数据挖掘中的重要问题,有广泛的应用领域。然而,现有的关联规则发现算法是依据统计学上的显著性作为获取关联规则的条件。该文在关联规则发现中引入了利润约束,给出了具有利润约束的关联规则问题的性质,并根据该问题的性质给出了高效的求解算法。
Discovery of association rules is an important task in data mining, which has been found very useful in many areas. However the existing associati algorithm discovery association rules only depend on the significance in statistics. This paper induces profit constraint in association rules mining, presents th association rules mining with profit constraint, and proposes an effective algorithm according to the character of the problem.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第19期11-12,37,共3页
Computer Engineering
关键词
利润约束
关联规则
数据挖掘
Profit constraint
Association rules
Data mining
