Implementation of GIS Spatial Data Mining Based on Cloud Theory

Author

Hui, Wang Xiao ; Jiancang, Xie ; Jianxun, Li ; Jungang, Luo ; Fuchao, Liu

Author_Institution

Inst. of Water Resources & Hydro-Electric Eng., Xi´´an Univ. of Technol.

Volume

1

fYear

2006

fDate

9-11 Nov. 2006

Firstpage

530

Lastpage

534

Abstract

The transforms between qualitative concepts and their quantitative expressions plan an important role in spatial data mining & knowledge discovery (SDMKD), the cloud theory is this kind of powerful tools. Based on the cloud model, this paper presents a expression method for uncertain direction by using two-dimensional normal cloud, builds a data mining pattern through combining cloud theory and rough sets, proposes a GIS spatial data mining structure system. In this foundation, the process of data mining for GIS spatial data by generalizing attributes based on cloud theory and reducing attributes based on rough sets is given. Finally an example is explained and confirmed this method validity

Keywords

data mining; geographic information systems; rough set theory; GIS spatial data mining; cloud theory; knowledge discovery; rough sets; Clouds; Data mining; Entropy; Fuzzy set theory; Geographic Information Systems; Helium; Infrared sensors; Mathematics; Rough sets; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Information Technology, 2006. ICHIT '06. International Conference on

Conference_Location

Cheju Island

Print_ISBN

0-7695-2674-8

Type

conf

DOI

10.1109/ICHIT.2006.253539

Filename

4021142