On spatial data mining and knowledge discovery 论空间数据挖掘和知识发现
Sdml : a spatial data mining language for spatial database 基于空间数据库的空间数据挖掘语言
spatial data mining technology offers valuable means for discovering knowledge in environmental database 空间数据挖掘技术为环境数据库的知识发现提供了有效的途径。
This paper places great emphasis on the study of the spatial data mining methods and their integration with gis 本文重点对空间数据挖掘算法及其与gis的集成进行了研究。
Aiming at the problem of the integration between the spatial data mining and gis, the paper proposes three integrated modes 针对空间数据挖掘技术与gis之间的集成问题本文提出了三种集成模式。
The main task of spatial data mining is to discovery the implicit, previous unknown, and potential useful information from these data 如何发现在大型空间数据库中所隐藏的、预先未知的信息以辅助相应的应用,这就是目前空间数据挖掘的任务。
The article introduces the common way of applying data mining technology in spatial database, especially spatial association rule-based spatial data mining arithmetic 摘要介绍了数据挖掘在空间数据库中应用的一般方法,特别介绍了关联规则数据挖掘的方法应用于空间数据库。
The main content of this paper include the follows : ( 1 ) the basic theory and technology framework of spatial data mining are established and the theory and methods are perfectly developed 主要内容有:(1)建立起空间数据挖掘的基础理论和技术框架,进一步完善了空间数据挖掘的理论和方法。
The third part is about the spatial data mining technique . many information systems have got enough spatial data about the debris flow, but how to use the information in deep degree is a big problem (三)方法上的创新数据挖掘技术(datamining)是目前国际上数据库领域和决策支持研究领域的最前沿方向之一。
His areas of specialization cover the development and application of intelligent spatial decision support systems, spatial optimization, fuzzy sets and logic for spatial analysis, geocomputation, spatial data mining and knowledge discovery 他的专门研究范围包括智能空间决策支援系统、空间优化、空间分析的模糊集合及逻辑、地理计算学、空间数据发掘及知识发现。