首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:Development of a data mining method for land control
  • 本地全文:下载
  • 作者:Wang Shuliang ; Wang Xinzhou ; Shi Wenzhong
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2001
  • 卷号:4
  • 期号:1
  • 页码:68-76
  • DOI:10.1007/BF02826640
  • 出版社:Taylor and Francis Ltd
  • 摘要:Land resources are facing crises of being misused, especially for an intersection area between town and country, and land control has to be enforced. This paper presents a development of data mining method for land control. A vector-match method for the prerequisite of data mining i. e., data cleaning is proposed, which deals with both character and numeric data via vectorizing character-string and matching number. A minimal decision algorithm of rough set is used to discover the knowledge hidden in the data warehouse. In order to monitor land use dynamically and accurately, it is suggested to set up a real-time land control system based on GPS, digital photogrammetry and online data mining. Finally, the means is applied in the intersection area between town and country of Wuhan city, and a set of knowledge about land control is discovered.
  • 关键词:land control; data mining; vector-match method; rough set; GIS
国家哲学社会科学文献中心版权所有