Spatial Data Ranking For Selected Location Using Quality of Features
نویسنده
چکیده
Spatial database management system (SDBMS) contains spatial data in space and provides special storage for handling the spatial data. With the perception of users attraction towards few best objects rather than a large list of best objects as a result, in this paper, we propose an approach to generate top k ranking of spatial data for selected location based on quality of features. Search Algorithm and Enhanced Branch & Bound Algorithm have been used to achieve this. Search Algorithm is used for searching specific set of objects. Enhanced Brand & Bound Algorithm takes input as search result of search algorithm to produce top most objects according to the quality of features (hotel, school, hospital, and market) for searched objects. For example, consider a real estate database, in that customers want to search particular location with top k flats in accordance to features. The top most flat for selected location with good quality is obtained by using the above algorithms. The experimental results would prove the efficiency of this proposed work. Keywords— spatial databases, search algorithm, branch and bound algorithm, location, rank, real estate.
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