spatial data mining造句
例句与造句
- 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。 - It's difficult to find spatial data mining in a sentence. 用spatial data mining造句挺难的
- 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。 - spatial data mining ( sdm ) refers to picking up interesting rules from spatial database, such as spatial patterns and characteristics, the universal relations of spatial and non-spatial data and other universal implicated in spatial data
空间数据挖掘是指从空间数据库中提取用户感兴趣的空间模式与特征、空间与非空间数据的普遍关系及其它一些隐含在空间数据中的普遍的数据特征。 - the remainder of this paper is organized as follows : 1 . in the paper we expound the general theories and concepts of the spatial data structure, spatial database and spatial data warehouse, and introduce several typical prototype systems of spatial data mining
本文主要研究工作如下：1阐述空间数据结构、空间数据库和空间数据挖掘的相关理论和概念，并介绍几种目前比较典型的空间数据挖掘原型系统。 - in the same time, spatial association rules is one of the upmost knowledge rules in the result of spatial data mining . it emphasizes particularly on confirming the relation of data in different fields . it tries to find out the dependence of data in multi-fields
同时空间关联规则是空间数据挖掘结果的一种最主要的知识规则，它侧重于确定数据中不同领域之间的联系，找出满足给定支持度和可信度阈值的多个域之间的依赖关系。 - nowadays, dems at four map-scale levels of have been constructed in china . faced on the huge quantity information saved in the databases, we believe that a careful researching and mastering the theories and techniques of spatial data mining from dems have vital significance
目前，我国测绘部门已基本上完成了4级比例尺dem建设，面对海量的信息，研究与掌握基于dem空间数据挖掘的理论与方法，对于指导dem及其相关空间数据的应用具有及其重要的意义。 - spatial data mining is one research field of data mining, which can discover effective, novel, invaluable and understandable knowledge or rules from spatial database . clustering is a very important technology and method of data mining as well as spatial clustering analysis is the main research field of spatial data mining
空间数据挖掘是数据挖掘研究的一个重要研究方向,是从空间数据库中识别或提取有效的、新颖的、潜在有用的、最终可理解的模式的非平凡过程。
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