| 关于Top-N最频繁项集挖掘的研究 |
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| 引用本文： | 朱颢东,李红婵.关于Top-N最频繁项集挖掘的研究[J].电子科技大学学报(社会科学版),2010(5). |
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| 作者姓名： | 朱颢东 李红婵 |
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| 作者单位： | 郑州轻工业学院计算机与通信工程学院; |
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| 基金项目： | 四川省科技计划项目(2008GZ0003) |
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| 摘 要： | 最频繁项集挖掘决定了文本关联规则挖掘算法的性能,是文本关联规则挖掘中研究的重点和难点。该文分析了当前最频繁项集挖掘方面的不足,改进了传统的倒排表,结合最小支持度阈值动态调整策略,提出了一个新的基于改进的倒排表和集合理论的Top-N最频繁项集挖掘算法。同样,给出了几个命题和推论,并把它们用于该文算法以提高性能,实验结果表明,所提算法的规则有效率和时间性能优于NApriori算法和IntvMatrix算法。
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| 关 键 词： | 关联规则 倒排表 频繁项集 集合理论 支持度 |
Research on Top-N Most Frequent Itemsets Mining |
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| ZHU Hao-dong , LI Hong-chan.Research on Top-N Most Frequent Itemsets Mining[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2010(5). |
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| Authors: | ZHU Hao-dong LI Hong-chan |
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| Institution: | ZHU Hao-dong , LI Hong-chan (School of Computer Communication Engineering,Zhengzhou University of Light Industry Zhengzhou 450002) |
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| Abstract: | Most frequent item sets mining is the focus and the difficulty of text association rules mining,and it directly determines the performance of text association rules mining algorithms.Firstly,several most frequent item sets mining algorithms are analyzd and summarized.And then,traditional inverted list is improved.Based on the improved list and set theory,a new TOP-N most frequent itemset mining algorithm combined minimum support threshold dynamic adjustment strategy is presented.In addition,several proposit... |
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| Keywords: | association rules inverted list requent itemsets set theory supports |
| 本文献已被 CNKI 等数据库收录！ |
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