| 基于分辨矩阵的含负属性项关联规则挖掘 |
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| 引用本文： | 王培吉,章树玲,赵玉琳.基于分辨矩阵的含负属性项关联规则挖掘[J].江西师范大学学报(自然科学版),2012(1):95-98. |
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| 作者姓名： | 王培吉 章树玲 赵玉琳 |
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| 作者单位： | 内蒙古科技大学数理与生物工程学院;内蒙古第一机械集团公司二分公司 |
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| 基金项目： | 国家自然科学基金(81060238)资助项目 |
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| 摘 要： | Apriori算法存在候选集、频繁集产生效率低,丢失有趣强关联规则等问题,提出一种基于分辨矩阵可以采掘含负属性项强关联规则的改进算法,最后给出一个实际例子实现该算法.
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| 关 键 词： | 数据挖掘 分辨矩阵 兴趣度 关联规则 |
Mining Association Rules Including Negative Items Based on Recognizable Matrix |
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| WANG Pei-ji,ZHANG Shu-lin,ZHAO Yu-lin.Mining Association Rules Including Negative Items Based on Recognizable Matrix[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2012(1):95-98. |
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| Authors: | WANG Pei-ji ZHANG Shu-lin ZHAO Yu-lin |
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| Institution: | 1.School of Mathematics,Physics and Biological Engineering,Inner Mongolia University of Science and Technology,Baotou Inner Mongolia 014010,China;2.Branch 2,Inner Mongolia First Machinery Group Corporation,Baotou Inner Mongolia 014032,China) |
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| Abstract: | Recognizable matrix,association rules including negative items and submit an improved Ap-riori algorithm,aim at low efficiency of mining candidate itemsets,frequent itemsets and losing useful rules is presented.The implementation of algorithm by introducing an example is described. |
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| Keywords: | data mining recognizable matrix interestingness association rules |
| 本文献已被 CNKI 等数据库收录！ |
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