Title :
The application of spatial data mining in railway geographic information systems
Author :
XU, Wei ; QIN, Yong ; Huang, Houkuan
Author_Institution :
Sch. of Comput. & Inf. Technol., Northern Jiaotong Univ., Beijing, China
Abstract :
This paper presents in-depth research on various spatial data mining techniques and their applications in railway geographic information systems (RGIS) through the systems´ planning, design and implementation. We propose the concept of intelligent RGIS (IRGIS). An IRGIS uses intelligent spatial data mining to discover the association rules hidden in the vast amount of railway data, and will be able to perform not only the generic functions of spatial data representation, query, and statistical analysis, but also complex spatio-temporal analysis and decision-making support.
Keywords :
data mining; decision making; geographic information systems; query processing; rail traffic; railways; statistical analysis; decision-making support; generic functions; intelligent railway geographic information systems; query; spatial data mining techniques; spatial data representation; spatiotemporal analysis; statistical analysis; system design; system implementation; system planning; Application software; Data analysis; Data mining; Decision making; Geographic Information Systems; Information analysis; Information technology; Rail transportation; Spatial databases; Statistical analysis;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1252727
