文章基本信息

标题：Effective Novel Method for Handling Non Spatial Attributes and Minimizes Query Response Time
本地全文：下载
作者：M. Krishna ; A. Lakshman Rao ; G. Vijay Kumar 等
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：2016
卷号：7
期号：4
页码：13-15
语种：English
出版社：Ayushmaan Technologies
摘要：Now a days users are issuing spatial queries like range and nearest neighbor search contains the multidimensional objects named as hotels, ATM and hospitals. But present user query forms is changed due to requirements for example instead of hotel user is asking to retrieve the hotels having his interested food menu. To process this types queries IR-tree as well as spatial inverted index is used. These techniques can’t handles the more user’s requests due to increases the volume of smartphones and tablets. It can’t scale up the services.in this project proposing a novel technique named as Merkle Skyline R-tree method and outsourcing the data management service to cloud service providers. Existing techniques can’t handle the non-spatial attributes like service level, food quality and price. The proposed Merkle Skyline R-tree method provides efficient services to clients.
关键词：Nearest Neighbor Search;Keyword Search;Spatial Index