Title :
The research of railway transport market subdivision based on data mining technology
Author :
Tian, Ya ; Chen, Jiajuan ; Wang, Xuebing
Author_Institution :
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing
Abstract :
Facing to the characters of railway transport industry, parameters of railway freight market customer subdivision were presented; clustering model K-Means was established for market subdivision. The algorithm of K-Means was modified by using square error and objective function. Actual experiment of railway transport market subdivision is done based on Clementine 8.0 platform, and the features of various submarkets acquired form the experiment was analyzed and described.
Keywords :
data mining; freight handling; goods distribution; railway industry; K-Means algorithm; data mining technology; railway freight market customer subdivision; railway transport industry; railway transport market research; square error function; Clustering algorithms; Data mining; Economic forecasting; Information analysis; Mining industry; Modems; Rail transportation; Road transportation; Scattering; Traffic control; Cluster analysis; Freight transportation; Market Subdivision; Railway;
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
DOI :
10.1109/SOLI.2008.4686381
