By Topic

Study on model of spatial data mining based on double-bases cooperating mechanism

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hongchun Yuan ; Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China ; Fanlun Xiong

Spatial data mining is the extraction of implicit knowledge, spatial relations and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. It has a promising future in such fields as remote sensing, geographical information systems, medical imagery and information fusion systems etc. From the view of the crossover of knowledge discovery, cognition science and intelligent systems, the paper proposes a theoretical model of spatial data mining based on the double-bases cooperating mechanism of knowledge base and database, and systematically introduces knowledge types which can be obtained from spatial databases and the methods of spatial data mining. Finally, the future directions of spatial data mining are discussed.

Published in:

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on  (Volume:2 )

Date of Conference: