Title :
Research on Data Mining of Logistics and Economic Development
Author :
Song, Yu-Chen ; Lv, Wenliang
Author_Institution :
Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Abstract :
This paper, based on the relevant data of the National Bureau of Statistics, is going to explore whether there is a corresponding relationship between the logistics and economic growth by using correlation analysis and data mining approach to analyze the data of Inner Mongolia and that of the 31 provinces and cities nationwide. It proves that the development of China´s logistics industry has a tremendous impact on economic growth by using empirical data to construct the model of logistics industry´s development and economic growth.
Keywords :
data mining; economic indicators; logistics; correlation analysis; data mining; economic development; economic growth; Business; Costs; Data analysis; Data mining; Economic indicators; Industrial economics; Industrial relations; Logistics; Paper technology; Statistical analysis;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5363100
