| 挖掘概念类之间的相互作用关系 |
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| 引用本文： | 张师超,陈峰,尤晓芳.挖掘概念类之间的相互作用关系[J].计算机科学,2005,32(10):128-131. |
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| 作者姓名： | 张师超 陈峰 尤晓芳 |
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| 作者单位： | [1]悉尼科技大学信息技术学院,澳大利亚 [2]广西师范大学计算机系,桂林541004 |
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| 基金项目： | 澳大利亚ARC项目（DP0559536）;国家自然科学基金重大项目（60496321）;国家自然科学基金项目（60463003）. |
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| 摘 要： | 一条关联规则是有趣的如果它满足最小支持度和可信度的限制.这导致大量平凡的规则产生.设计一个算法挖掘这样的有趣规则,它的前件和后件分别属于不同的概念类,称这种规则为类间桥.类间桥在行销中的交叉销售,生物工程中的嫁接,化学中的合成等应用中有重要的应用价值.
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| 关 键 词： | 数据挖掘 关联规则挖掘 聚类 类间桥 |
Mining Interactions within Conceptual Classes |
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| ZHANG Shi-Chao ,CHEN Feng YOU ,Xiao-Fang.Mining Interactions within Conceptual Classes[J].Computer Science,2005,32(10):128-131. |
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| Authors: | ZHANG Shi-Chao CHEN Feng YOU Xiao-Fang |
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| Affiliation: | 1 Faculty of Information Technology, University of Technology Sydney, Australia;2 Department of Computer Science, Guangxi Normal University, Guilin 541004 |
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| Abstract: | An association rule is interesting if it satisfies two constraints, minimum support and minimum confidence. This can generate a great many trivial association rules. This paper designs an algorithm for mining a kind of association rules that the antecedent and action of such a rule belong to different conceptual classes, referred to class bridges. Class bridges are useful in applications, such as cross-sale in marketing, engraftation in bioengineering, and chemical synthesis. |
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| Keywords: | Data mining Association rule Clustering Class bridge |
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