| 在物流RFID数据库中挖掘时空模式 |
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| 引用本文： | 赵秀丽,徐维祥.在物流RFID数据库中挖掘时空模式[J].物流技术,2011(17):101-104,124. |
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| 作者姓名： | 赵秀丽 徐维祥 |
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| 作者单位： | 国家重点实验室(北京交通大学);山东轻工业学院商学院;北京交通大学交通运输学院; |
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| 基金项目： | 轨道交通控制与安全国家重点实验室支撑项目(RCS2009ZT007); 北京市科委课题(Z090506006309011); 国家科技支撑项目(2009BAG12A10) |
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| 摘 要： | 对传统的关联规则进行改进,结合时间和空间属性,提出了适合在物流RFID数据库中挖掘时空频繁模式的一些相关概念:频繁装(卸)货地点、频繁直达路径和频繁转运路径等。利用这些概念和有效的剪枝策略能快速准确地挖掘出物流RFID数据库中隐含的非平凡模式,可为物流公司的科学管理与线路优化提供及时准确的决策依据。
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| 关 键 词： | 数据挖掘 时空关联规则 物流RFID数据库 |
Mining Spatio-Temporal Patterns in Logistics RFID Databases |
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| ZHAO Xiu-li,XU Wei-xiang ,Beijing ,.School of Business,Sh,ong Polytechnic University,Jinan ,.School of Traffic & Transportation,Beijing Jiaotong University,China.Mining Spatio-Temporal Patterns in Logistics RFID Databases[J].Logistics Technology,2011(17):101-104,124. |
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| Authors: | ZHAO Xiu-li XU Wei-xiang Beijing School of Business Sh ong Polytechnic University Jinan School of Traffic & Transportation Beijing Jiaotong University China |
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| Institution: | ZHAO Xiu-li~(1,2),XU Wei-xiang~3 (1.State Key Laboratory(Beijing Jiaotong University),Beijing 100044,2.School of Business,Shandong Polytechnic University,Jinan 250353,3.School of Traffic & Transportation,Beijing Jiaotong University,China) |
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| Abstract: | In this paper,the traditional association rules are improved and applied to logistics RFID databases.Some recurring spatio-temporal patterns are discovered such as frequent loading/unloading places,frequent direct route and frequent transshipment route. By these concepts and effective pruning strategies,the hidden non-trivial patterns can be effectively extracted from the logistics RFID databases.These patterns can provide timely and accurate information to support scientifics logistic management and optimi... |
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| Keywords: | data mining spatio-temporal association rules mining logistics RFID databases |
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