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

Volume

2

fYear

2003

fDate

12-15 Oct. 2003

Firstpage

1467

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE

Print_ISBN

0-7803-8125-4

Type

conf

DOI

10.1109/ITSC.2003.1252727

Filename

1252727