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Study on application of data mining technology to modern logistics management decision

  • Quan Congna*
  • , Zhao Huifeng
  • , Li Bo
  • *此作品的通讯作者
  • Hebei Agricultural University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the informationization, networking and intelli-gent development of modern logistics, the enormous data together with very critical knowledge hidden therein are generated from the management process of logistics enterprises. The data mining methods such as clustering, association rules, sequential pattern, statistics analysis, characteristics rules and so on can be used to find out the useful knowledge, enabling such data to become the real fortune of logistics companies and support their decisions and development. This paper introduces the significance of the application of data mining to modern logistics management decision, and then analyses in detail how to apply the data mining to modern logistics management decision and the key technology of the application. Finally, it is pointed out that the data mining technology is becoming more and more powerful in modern logistics management.

源语言英语
主期刊名Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
433-436
页数4
DOI
出版状态已出版 - 2009
活动2009 International Forum on Information Technology and Applications, IFITA 2009 - Chengdu, 中国
期限: 15 5月 200917 5月 2009

出版系列

姓名Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
3

会议

会议2009 International Forum on Information Technology and Applications, IFITA 2009
国家/地区中国
Chengdu
时期15/05/0917/05/09

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