By Topic

Study on Application of Data Mining Technology to Modern Logistics Management Decision

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Quan Congna ; Sch. of Bus., Agric. Univ. of Hebei, Baoding, China ; Zhao Huifeng ; Li Bo

With the informationization, networking and intelligent 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.

Published in:

Information Technology and Applications, 2009. IFITA '09. International Forum on  (Volume:3 )

Date of Conference:

15-17 May 2009