DocumentCode :
1563003
Title :
The data mining research of time-series of flow supply chain
Author :
Peng, Chen ; Yue, Dong
Author_Institution :
Dept. of Control Theory & Eng., Nanjing Normal Univ., China
Volume :
5
fYear :
2004
Firstpage :
4273
Abstract :
Based on KDD analysis and aimed at the question of knowledge discovery of the large qualities of time-series data in flow supply chain, the project of KDD based on the integrated information is presented and the time-delay NNET is applied. In the premise of integration of the network data, visual basic is used to distill data as the input sequence of the model of time-delay NNET. NNET tools of MATLAB are utilized to compile the model of KDD to find the pattern of time-series, forecast the rules of data, form the knowledge chain and use it as the support chain of optimize operation of the supply chain. The above methods have been used successfully in coal preparation.
Keywords :
data mining; delays; production engineering computing; supply chain management; supply chains; time series; visual languages; Matlab; coal preparation; data mining research; flow supply chain; knowledge discovery; time delay NNET; time series data; visual basic; Control theory; Data engineering; Data mining; Information analysis; Knowledge engineering; MATLAB; Mathematical model; Supply chains; Time series analysis; Visual BASIC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1342317
Filename :
1342317
Link To Document :
بازگشت