Research on Logistics Oriented Spatial Data Mining Techniques

Author

Wang Peng ; Ma Li ; Xi Yuanyuan ; Jin Lianhua

Author_Institution

Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

Since 2000, logistics becomes a popular subject and logistics industry becomes one of developed industries to government at all levels. Whatever on its operation level, management level or strategic level, logistics has a strong trend to use spatial data mining technology as one of its foundations. There are massive data information and much implicit and valuable knowledge in the database of logistics oriented GIS database. However, presently GIS is mainly limited to the collection, query, and statistic of data, so it can not discover effective relations and rules. We can mine massive spatial data which managed by GIS, analyze GIS data at higher level, and discover the important knowledge by the combination of data mining and GIS. The paper opens a new way for the development of logistics industry through knowledge discovery and data mining, associates GIS component MapX, offers a spatial data mining system architecture based on the MapX, and realizes model data preprocessing.

Keywords

data mining; geographic information systems; logistics data processing; MapX; knowledge discovery; logistics oriented spatial data mining; oriented GIS database; Data analysis; Data mining; Geographic Information Systems; Government; Industrial relations; Knowledge management; Logistics; Spatial databases; Statistics; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5302896

Filename

5302896