文章基本信息

标题：Efficiently Identifying Top Quality Feature Objects in Spatial Data
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作者：Chakrapani Avala ; Yamini Santhoshi P
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：4
页码：173-176
语种：English
出版社：Ayushmaan Technologies
摘要：To select the top rank Objects based on the quality of features in their spatial neighborhood. An attractive type of preference queries, which select the best spatial location with respect to the quality of facilities in its spatial area. Given a set D of interesting objects (e.g., candidate locations), a top-k spatial preference query retrieves the k objects in D with the highest scores. The featured score of a given object is derived from the quality of features (e.g., location and nearby features) in its spatial neighborhood. User preference queries are very important in spatial databases. With the help of these queries, one can found best location among points saved in database. In many situation users evaluate quality of a location with its distance from its nearest neighbor among a special set of points. In this paper R-trees can efficiently process main spatial query types, including spatial range queries, nearest neighbor queries, and spatial joins. It finds out the top most feature objects.
关键词：Query processing;Spatial Databases