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
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;
Conference_Titel :
Computing Technology and Information Management (ICCM), 2012 8th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0893-9