• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on ITS(Intelligent Transport Systems Standardization) Telecommunications Proceedings(ITST2006); 20060621-23; Chengdu(CN) >Research on Application of Association Rule Algorithm in Intelligence Transportation System
【24h】

Research on Application of Association Rule Algorithm in Intelligence Transportation System

机译：关联规则算法在智能交通系统中的应用研究

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

To support the decision-making of traffic control effectively, an association rules algorithm based on data cube was proposed in the paper. First, data cube from database was set up. Then frequent item-set which satisfied the minimum support on data cube was mined out. Furthermore, association rules of frequent item-set were obtained. Finally, redundant association rules were wiped off through the relative method. The algorithm had two advantages, the first was that the executing time of the algorithm was short while searching for the frequent item- set; the second was that the rules' interest degree was high. The algorithm was also used intelligence traffic system and a few effective patterns were obtained. The results manifested that the algorithm was effective in decision- making support of traffic control.
机译：为了有效地支持交通控制决策，提出了一种基于数据立方体的关联规则算法。首先，建立来自数据库的数据立方体。然后挖掘出满足数据多维数据集最小支持的频繁项目集。此外，获得了频繁项目集的关联规则。最后，通过相关方法消除了多余的关联规则。该算法有两个优点，其一是搜索频繁项集时算法执行时间短。第二是规则的兴趣度很高。该算法还被用于智能交通系统，并获得了一些有效的模式。结果表明，该算法在交通控制决策支持中是有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号