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  • 标题:Ranking Objects by Evaluating Spatial Points through Materialized Datasets
  • 本地全文:下载
  • 作者:K.Swathi ; B.Renuka Devi
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:5
  • 页码:6458-6463
  • 出版社:TechScience Publications
  • 摘要:Ranking spatial objects can be done based on their features. Every object has its own features. Based on the features, the objects could be provided with some scores likewise identifying scores for each object we could rank them. For providing scores of objects, if they were of multidimensional or high dimensional we need to use some algorithms that could provide the best objects based on their features. Likewise here we want to rank the spatial objects by using both their feature and their surrounding objects. For this purpose, here we use some dominant relationship algorithm that could give best objects that were dominant with all the features and then we will find out the best objects based on their surroundings through distance metric, by using spatial data structures and feature join algorithm through hash indexing. By this we can provide best ranked results for spatial objects.
  • 关键词:Skyline Points; Materialisation; M-Trees
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