| Apriori算法的改进及其在物流信息挖掘中的应用 |
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| 引用本文： | 赵春玲,宁红云.Apriori算法的改进及其在物流信息挖掘中的应用[J].天津理工大学学报,2007,23(1):30-33. |
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| 作者姓名： | 赵春玲 宁红云 |
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| 作者单位： | 天津理工大学,计算机科学与技术学院,天津,300191 |
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| 基金项目： | 天津市自然科学基金;天津市教委资助项目 |
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| 摘 要： | 在分析当前Apriori算法及其改进算法的基础上,提出了一种将Apriori算法与物流信息挖掘相结合的Apriori改进算法.通过Apriori改进算法与原Apriori算法挖掘结果的比较,说明了Apriori改进算法不仅缩小了剪枝扫描数据库的规模而且减少了生成频繁项目集的候选项目集.
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| 关 键 词： | 数据挖掘 关联规则 |
| 文章编号： | 1673-095X（2007）01-0030-04 |
| 收稿时间： | 2006-05-04 |
| 修稿时间： | 2006年5月4日 |
Improvement in Apriori algorithm and using in logistics information mining |
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| ZHAO Chun-ling,NING Hong-yun.Improvement in Apriori algorithm and using in logistics information mining[J].Journal of Tianjin University of Technology,2007,23(1):30-33. |
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| Authors: | ZHAO Chun-ling NING Hong-yun |
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| Affiliation: | School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, China |
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| Abstract: | By analyzing Apriori algorithm and its improvement, a new algorithm-the improvement of Apriori algorithm was advanced which was based on Apriori algorithm and logistics information mining. This paper also made a comparison between the use of Apriori algorithm and the improvement Apriori algorithm. Then it proved that the improvement Apriori algorithm not only reduced the number of scanning data base but also reduced the number of alternative items which might become frequent item. |
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| Keywords: | Apriori |
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