Cluster based Indexing for Spatial Analysis on Read-only Database

Chiu-Wing Sham, K. Cheung, Chung Yim Edward Yiu
{"title":"Cluster based Indexing for Spatial Analysis on Read-only Database","authors":"Chiu-Wing Sham, K. Cheung, Chung Yim Edward Yiu","doi":"10.1109/ICASI57738.2023.10179500","DOIUrl":null,"url":null,"abstract":"The one-time analysis is a widely-used method in spatial analysis, as it allows researchers to obtain raw data from a database and use a computer program to reconstruct a one-time database for analysis. However, this process can be resource-intensive, as the spatial database is typically read-only and requires the use of a complex data structure. In this paper, we propose the use of a cluster-based index (CBI) as a solution to these issues. CBIs are a type of indexing technique that can be used to improve the efficiency of spatial queries in read-only databases. By using a CBI, we can reduce the overhead of computations and significantly improve the execution time of spatial analysis.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 9th International Conference on Applied System Innovation (ICASI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASI57738.2023.10179500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The one-time analysis is a widely-used method in spatial analysis, as it allows researchers to obtain raw data from a database and use a computer program to reconstruct a one-time database for analysis. However, this process can be resource-intensive, as the spatial database is typically read-only and requires the use of a complex data structure. In this paper, we propose the use of a cluster-based index (CBI) as a solution to these issues. CBIs are a type of indexing technique that can be used to improve the efficiency of spatial queries in read-only databases. By using a CBI, we can reduce the overhead of computations and significantly improve the execution time of spatial analysis.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于聚类的只读数据库空间分析索引
一次性分析是空间分析中广泛使用的一种方法,它允许研究人员从数据库中获取原始数据,并使用计算机程序重建一次性数据库进行分析。然而,这个过程可能是资源密集型的,因为空间数据库通常是只读的,并且需要使用复杂的数据结构。在本文中,我们提出使用基于集群的索引(CBI)作为解决这些问题的方法。CBIs是一种索引技术,可用于提高只读数据库中空间查询的效率。通过使用CBI,我们可以减少计算开销,并显著提高空间分析的执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Intelligent Detection of Disinformation Based on Chronological and Spatial Topologies Cluster based Indexing for Spatial Analysis on Read-only Database Straight-line Generation Approach using Deep Learning for Mobile Robot Guidance in Lettuce Fields Leveraging the Objective Intelligibility and Noise Estimation to Improve Conformer-Based MetricGAN Analysis of Eye-tracking System Based on Diffractive Waveguide
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1