DocumentCode
1948255
Title
Notice of Retraction
Research on GIS Data Mining method
Author
Liu Jia ; Liu Lin
Author_Institution
Dept. of Inf. Eng., Environ. Manage. Coll. of China, Qinhuangdao, China
Volume
8
fYear
2010
fDate
9-11 July 2010
Firstpage
568
Lastpage
571
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
GIS Data Mining is an emerging field of study in Data Mining, with continuously expanding of the GIS applications, making exploring and mining the information and the regular pattern which implicit in the temporal and spatial have become a research focus and difficulty. Base on the characteristics of GIS data, put forward dynamic continuous query processing method, made the traditional way of data repetitive acquisition into a cycle of continuous dynamic approach, and made query analysis about the history data and temporal data of GIS, Laid the foundation for the improving of the GIS data mining efficiency.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
GIS Data Mining is an emerging field of study in Data Mining, with continuously expanding of the GIS applications, making exploring and mining the information and the regular pattern which implicit in the temporal and spatial have become a research focus and difficulty. Base on the characteristics of GIS data, put forward dynamic continuous query processing method, made the traditional way of data repetitive acquisition into a cycle of continuous dynamic approach, and made query analysis about the history data and temporal data of GIS, Laid the foundation for the improving of the GIS data mining efficiency.
Keywords
data mining; geographic information systems; query processing; GIS data mining method; continuous dynamic approach; data repetitive acquisition; dynamic continuous query processing method; history data; query analysis; temporal data; Geographic Information Systems; Typhoons; GIS; continuous query; data mining; dynamic query; temporal data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564523
Filename
5564523
Link To Document