| 基于序列模式的正负关联规则研究 |
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| 引用本文： | 郭跃斌,翟延富,董祥军,杨越越,李刚.基于序列模式的正负关联规则研究[J].山东大学学报(理学版),2007,42(9):88-90. |
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| 作者姓名： | 郭跃斌 翟延富 董祥军 杨越越 李刚 |
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| 作者单位： | 山东轻工业学院,信息科学与技术学院,山东,济南,250353 |
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| 基金项目： | 山东省优秀中青年科学家科研奖励基金;山东省教育厅资助项目 |
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| 摘 要： | 序列模式可预测企业的发展方向，负关联规则可展现不良因素的根源，序列模式的正负关联规则为企业决策提供更全面的信息. 将序列模式和负关联规则的挖掘算法相结合，利用项集间的相关性，挖掘出序列模式的正负关联规则.
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| 关 键 词： | 序列模式 正关联规则 负关联规则 相关性 |
| 文章编号： | 1671-9352（2007）09-0088-03 |
| 修稿时间： | 2007-04-18 |
Positive and negative association rules based on sequential patterns |
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| GUO Yue-bin,ZHAI Yan-fu,DONG Xiang-jun,YANG Yue-yue,LI Gang.Positive and negative association rules based on sequential patterns[J].Journal of Shandong University,2007,42(9):88-90. |
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| Authors: | GUO Yue-bin ZHAI Yan-fu DONG Xiang-jun YANG Yue-yue LI Gang |
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| Institution: | Department of Computer Science and Technology, Shandong Institute of Light Industry, Jinan 250353, Shandong, China |
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| Abstract: | Sequential patterns can predict company developing trends. The negative association rules can show the origin of bad factors, and the positive and negative association rules based on sequential patterns can offer more comprehensive information. The mining of the positive and negative association rules based on sequential patterns was given by combining the sequential patterns algorithm and the negative association rules algorithm and utilizing the correlation between item sets. |
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| Keywords: | sequential pattern the positive association rules the negative association rules correlation |
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