GeoMiner

Author:

Han Jaiwei1,Koperski Krzysztof1,Stefanovic Nebojsa1

Affiliation:

1. GeoMiner Research Group, Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6

Abstract

Spatial data mining is to mine high-level spatial information and knowledge from large spatial databases. A spatial data mining system prototype, GeoMiner, has been designed and developed based on our years of experience in the research and development of relational data mining system, DBMiner, and our research into spatial data mining. The data mining power of GeoMiner includes mining three kinds of rules: characteristic rules, comparison rules , and association rules , in geo-spatial databases, with a planned extension to include mining classification rules and clustering rules . The SAND ( Spatial And Nonspatial Data ) architecture is applied in the modeling of spatial databases, whereas GeoMiner includes the spatial data cube construction module , spatial on-line analytical processing ( OLAP ) module , and spatial data mining modules . A spatial data mining language, GMQL ( Geo-Mining Query Language ), is designed and implemented as an extension to Spatial SQL [3], for spatial data mining. Moreover, an interactive, user-friendly data mining interface is constructed and tools are implemented for visualization of discovered spatial knowledge.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference14 articles.

1. M. S. Chen J. Han and P. S. Yu. Data mining: An overview from a database perspective. IEEE Trsnsactions on Knowledge a~d Data Engineering 8:866-883 1906. 10.1109/69.553155 M. S. Chen J. Han and P. S. Yu. Data mining: An overview from a database perspective. IEEE Trsnsactions on Knowledge a~d Data Engineering 8:866-883 1906. 10.1109/69.553155

2. Spatial SQL: a query and presentation language

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3