| 基于关联规则的研讨信息分析研究 |
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| 引用本文： | 熊才权,黄鹤,张玉.基于关联规则的研讨信息分析研究[J].计算机与数字工程,2009,37(4):37-41. |
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| 作者姓名： | 熊才权 黄鹤 张玉 |
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| 作者单位： | 湖北工业大学计算机学院,武汉,430068 |
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| 摘 要： | 文章描述了数据挖掘中关联规则算法的基本思想，介绍了Apriori算法的过程，将其应用于研讨信息的分析，研究各个专家支持的主张之间的关系，引导专家的意见达成共识。最后通过算例说明了这个过程。
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| 关 键 词： | 关联规则 研讨信息 Apriori算法 |
Research on Discussion Information Analysis Based on Association Rules |
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| Xiong Caiquan,Huang He,Zhang Yu.Research on Discussion Information Analysis Based on Association Rules[J].Computer and Digital Engineering,2009,37(4):37-41. |
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| Authors: | Xiong Caiquan Huang He Zhang Yu |
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| Affiliation: | School of Computer;Hubei Unqiversity of Technology;Wuhan 430068 |
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| Abstract: | This paper first describes the basic idea of data mining association rules algorithm,and then introduces the process of Apriori algorithm,it will be applied to the analysis of the discussion information,which studies every experts to support the claim of the relationship,and guides experts to reach a consensus.Finally,an example illustrates this process. |
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| Keywords: | association rules discussion information Apriori algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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