DocumentCode
566563
Title
New graph mining algorithm for vector GIS systems
Author
Jasim, Mahdi ; Al Asadi, Tawfiq
Author_Institution
Dept. Of Comput. Networks, Univ. of Babylon, Hillah, Iraq
Volume
1
fYear
2012
fDate
24-26 April 2012
Firstpage
335
Lastpage
338
Abstract
Geographic Information System (GIS) are usually classified into raster, vector, and raster -vector systems. The research deals with proposing new graph mining algorithm called GIS-GMA. The algorithm is used for clustering the vector features of GIS. The vector data are usually stored in key index data files called shape files. These files contains the (point, lines, polygons,...,etc). The extracted data is then stored in a dataset to be processed by the proposed algorithm to discover the full and partial similarities among map objects to assist the clustering and analysis of map data. It deals with clustering the polylines and polygonal data.
Keywords
data mining; geographic information systems; GIS-GMA; geographic information system; graph mining algorithm; key index data files; polygonal data; polylines data; shape files; vector GIS systems; vector features; Abstracts; Geographic information systems; Vectors; GIS data analysis; Graph clustering algorithms; Graph mining; Mining GIS data; Spatial data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing Technology and Information Management (ICCM), 2012 8th International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4673-0893-9
Type
conf
Filename
6268518
Link To Document