Title :
A Study of Safety Third-Party Logistics Information Management Model Based on Data Mining
Author_Institution :
Econ. & Manage. Dept., Shaoxing Arts & Sci. Coll., Shaoxing, China
Abstract :
By illustrating the classification rules and association rules of data mining and taking into consideration of the content and requirement of third-party logistics information management and analyzing the security problems exist in third-party logistics information management, the paper suggests a safety third-party logistics information management model based on data mining. This model could provide better solution to the security problems in logistics information management, and help ensure the security of third-party logistics information management.
Keywords :
data mining; information management; logistics data processing; security of data; association rule; classification rule; data mining; security problem; third party logistic information management; association rules; data mining; information management; model; third-party logistics;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
Conference_Location :
ChangSha
Print_ISBN :
978-0-7695-4286-7
DOI :
10.1109/ICDMA.2010.67