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自动协商中的近似时态关联规则挖掘
Approximate temporal association rule mining in automated negotiation
【摘要】 针对协商过程的时态关联具有近似性的特点,提出了一种基于聚类的近似时态关联规则挖掘方法。该方法通过对特定关联模式的实例进行聚类,找到满足给定条件的时态关联规则,并给出规则中各属性取值以及关联间隔约束的有效范围。近似时态关联规则较一般的关联规则具有更强的灵活性和适应性,其对规则的描述更符合协商中的情况。
【Abstract】 To mine approximate temporal association rules in negotiation,an approach based on clustering was advanced.Approximate temporal association rules with valid bounds of attribute value and associated time interval were found by clustering all instances of rule patterns.Experiments showed that the approximate temporal association rule was more flexible and adaptable than the general association rule,and the descriptions it provided for the rule were more compatible to the real negotiation process.
【关键词】 多智能体系统;
自动协商;
时态关联规则;
近似规则;
【Key words】 multi-Agent system; automated negotiation; temporal association rule; approximate rule;
【Key words】 multi-Agent system; automated negotiation; temporal association rule; approximate rule;
【基金】 国家973计划资助项目(2003CB317000)~~
- 【文献出处】 计算机集成制造系统 ,Computer Integrated Manufacturing Systems , 编辑部邮箱 ,2007年09期
- 【分类号】TP311.13
- 【被引频次】7
- 【下载频次】123