| 基于本体的模糊关联规则算法 |
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| 引用本文： | 吕刚,郑诚.基于本体的模糊关联规则算法[J].合肥学院学报(自然科学版),2009,19(2):29-32. |
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| 作者姓名： | 吕刚 郑诚 |
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| 作者单位： | 1. 安徽大学,计算智能与信号处理教育部重点实验室,计算机科学与技术学院,合肥,230039合肥学院计算机科学与技术系,合肥,230601
2. 合肥学院,计算机科学与技术系,合肥,230601 |
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| 基金项目： | 安徽省自然科学基金，安徽省教育厅高校自然科学研究基金，合肥学院自然科学研究发展基金 |
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| 摘 要： | 模糊关联产生的大量候选数据项集使得在大型数据库中数据处理效率很低；提出基于本体的模糊关联规则挖掘系统；通过利用领域本体提高模糊关联规则挖掘效果，改变了挖掘算法，提出新规则．实验表明得到的新规则更有意义．
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| 关 键 词： | 本体 模糊关联规则 元规则 |
Algorithm for Fuzzy Correlative Rules Based on Ontology |
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| LV Gang,ZHENG Cheng.Algorithm for Fuzzy Correlative Rules Based on Ontology[J].Journal of Hefei University :Natural Sciences,2009,19(2):29-32. |
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| Authors: | LV Gang ZHENG Cheng |
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| Institution: | 1a.Key Lab of Intelligent Computing and Signal Processing of Ministry of Education;1b.School of Computer Science and Technology;Anhui University;Hefei 230039;2.Department of Computer Science and Technology;Hefei University;Hefei 230601;China |
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| Abstract: | Fuzzy correlation is faced with a major drawback in handling large dataset for it often produces a huge number of candidate data collections.A noumenon-based fuzzy correlative rule mining system was proposed,which could promote the mining efficiency by making use of domain ontology.The efficiency and advantages of this algorithm were approved by experimental results. |
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| Keywords: | ontology fuzzy correlative rule meta rule |
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