• 论文 •    

现代物流系统中路径编码及频繁路径挖掘技术研究

胡孔法,陈竹西,龚振志,陈崚,达庆利   

  1. 1.扬州大学 信息工程学院,江苏扬州225009;2.东南大学 经济管理学院,江苏南京210096
  • 出版日期:2008-12-15 发布日期:2008-12-25

Path coding and frequent path mining in modern logistics management system

HU Kong-fa, CHEN Zhu-xi, GONG Zhen-zhi, CHEN Ling, DA Qing-li   

  1. 1.College of Information Engineering, Yangzhou University, Yangzhou 225009, China;2.School of Economics & Management, Southeast University, Nanjing 210096, China
  • Online:2008-12-15 Published:2008-12-25

摘要: 在现代物流系统中,由射频识别技术产生的大量物品的路径信息占用了过多的存储空间,难以有效检索。使用路径编码pid的方法来记录路径信息,减少存储空间,并方便地检索路径信息。在路径编码的基础上,通过挖掘频繁路径编码来挖掘频繁路径,可以有效降低存储空间大小,提高挖掘算法的速度,并能有效地挖掘记录移动物品的数据立方体中的频繁路径信息。

关键词: 物流, 射频识别, 路径编码, 数据压缩, 频繁路径挖掘

Abstract: The volume of path data of moving objects collected by Radio Frequency IDentification (RFID) technology was massive and it was hard to be retrieved in the modern logistics management system. Using path coding (denoted as pid) method to record the path data could not only compress the data volume, but also it was more convenient to retrieve path data. Based on pid, frequent paths were mined by mining frequent pid, thus the storage space could be decreased, and the speed of mining algorithm could be increased. This method could be used in mining frequent path saved in the data cube which used in moving objects applications.

Key words: logistics, radio frequency identification, path coding, data compress, frequent path mining

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