Volume 2 (2) 2008
| Title: | Extraction Of Interesting Association Rules Using Genetic Algorthms |
| Authors: | Ismail Wadembere & Patrick J. Ogao |
| Published: | ŠIJCIR Vol2 (2) 2008, PP. 37-48 |
| Language: | English |
Abstract:
Geospatial information systems provide avenues to fulfill users’ quest for both absolute and relative locations of features/objects. To achieve this, the users need to have access to different geospatial data sets from various sources. This calls for integration of data from different geospatial sources. But, there are shortcomings as different data sets may not map exactly onto one another, one of reasons being the difference in features’ geometry. This paper presents a conceptual model for geospatial data integration that can identify and measure differences and adjust spatial geometries of geospatial features to form meaningful objects which can be used for geo-spatial analysis, modeling, and easy geo-information management. View full Article
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