spatial data mining中文是什么意思

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中文翻譯
造句

空間資料探勘；空間資料挖掘

spatial data 空間數(shù)據(jù) 空間; 空間坐標(biāo)數(shù)據(jù)
data mining 【計算機】數(shù)據(jù)挖掘。
exploratory spatial data analysis 探測空間數(shù)據(jù)分析
fusion technology of spatial data 空間數(shù)據(jù)融合
global spatial data infrastructure 全球空間數(shù)據(jù)基礎(chǔ)設(shè)施
national spatial data infrastructure 國家空間數(shù)據(jù)基礎(chǔ)設(shè)施
regional spatial data infrastructure 區(qū)域空間數(shù)據(jù)基礎(chǔ)設(shè)施
spatial data acquisition and integration 空間數(shù)據(jù)的獲取與集成
spatial data infrastructure 空間數(shù)據(jù)基礎(chǔ)設(shè)施
spatial data management system 空間數(shù)據(jù)管理系統(tǒng)
spatial data model 空間數(shù)據(jù)模型空間
spatial data modeling 空間數(shù)據(jù)建模空間
spatial data organization information 空間數(shù)據(jù)組織信息
spatial data sql 立體數(shù)據(jù)結(jié)構(gòu)化查詢語言
spatial data transfer standard 空間數(shù)據(jù)轉(zhuǎn)移標(biāo)準(zhǔn)
super-spatial data analysis 超空間數(shù)據(jù)分析
data fusion and mining methods 數(shù)據(jù)融合與數(shù)據(jù)挖掘
data mining and knowledge discovery 數(shù)據(jù)發(fā)掘與知識發(fā)現(xiàn); 數(shù)據(jù)開發(fā)與認知; 數(shù)據(jù)挖掘和知識發(fā)現(xiàn)
data mining and visualisation 數(shù)據(jù)挖掘和可視化
data mining specialist 挖掘師
data mining tools 數(shù)據(jù)挖掘工具
dm data mining 數(shù)據(jù)提取; 數(shù)據(jù)挖掘
intelligent data mining 智能數(shù)據(jù)挖掘
introduction to data mining 挖掘?qū)д撜n堂筆記
knowledge discovery and data mining 知識發(fā)現(xiàn)和數(shù)據(jù)挖掘

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例句與用法

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
空間數(shù)據(jù)挖掘是指從空間數(shù)據(jù)庫中提取用戶感興趣的空間模式與特征、空間與非空間數(shù)據(jù)的普遍關(guān)系及其它一些隱含在空間數(shù)據(jù)中的普遍的數(shù)據(jù)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闡述空間數(shù)據(jù)結(jié)構(gòu)、空間數(shù)據(jù)庫和空間數(shù)據(jù)挖掘的相關(guān)理論和概念，并介紹幾種目前比較典型的空間數(shù)據(jù)挖掘原型系統(tǒng)。
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
同時空間關(guān)聯(lián)規(guī)則是空間數(shù)據(jù)挖掘結(jié)果的一種最主要的知識規(guī)則，它側(cè)重于確定數(shù)據(jù)中不同領(lǐng)域之間的聯(lián)系，找出滿足給定支持度和可信度閾值的多個域之間的依賴關(guān)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，我國測繪部門已基本上完成了4級比例尺dem建設(shè)，面對海量的信息，研究與掌握基于dem空間數(shù)據(jù)挖掘的理論與方法，對于指導(dǎo)dem及其相關(guān)空間數(shù)據(jù)的應(yīng)用具有及其重要的意義。
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
空間數(shù)據(jù)挖掘是數(shù)據(jù)挖掘研究的一個重要研究方向,是從空間數(shù)據(jù)庫中識別或提取有效的、新穎的、潛在有用的、最終可理解的模式的非平凡過程。
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
空間數(shù)據(jù)挖掘是數(shù)據(jù)挖掘研究的一個重要研究方向,是從空間數(shù)據(jù)庫中識別或提取有效的、新穎的、潛在有用的、最終可理解的模式的非平凡過程。
A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine; 2 . a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented; 3 . a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype
論文的主要內(nèi)容概括起來有：(1)對空間數(shù)據(jù)挖掘技術(shù)、“3s”技術(shù)、環(huán)境模型在空間決策支持系統(tǒng)中的應(yīng)用與集成進行了研究，提出了一種基于空間數(shù)據(jù)挖掘的環(huán)境調(diào)控空間決策支持系統(tǒng)的模型，包括模型庫及其管理系統(tǒng)、知識庫及其管理系統(tǒng)、數(shù)據(jù)庫及其管理系統(tǒng)、推理機以及數(shù)據(jù)挖掘智能引擎等的設(shè)計；(2)建立了人工神經(jīng)網(wǎng)絡(luò)在福建省海岸帶環(huán)境預(yù)測中應(yīng)用的模型，提出了復(fù)合決策樹算法在遙感分類的應(yīng)用方法；(3)提出一種新穎的、簡便快捷的人工神經(jīng)網(wǎng)絡(luò)的實現(xiàn)方法，以及決策樹的實現(xiàn)方法，并在原型系統(tǒng)中作了實現(xiàn)。
A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine; 2 . a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented; 3 . a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype
論文的主要內(nèi)容概括起來有：(1)對空間數(shù)據(jù)挖掘技術(shù)、“3s”技術(shù)、環(huán)境模型在空間決策支持系統(tǒng)中的應(yīng)用與集成進行了研究，提出了一種基于空間數(shù)據(jù)挖掘的環(huán)境調(diào)控空間決策支持系統(tǒng)的模型，包括模型庫及其管理系統(tǒng)、知識庫及其管理系統(tǒng)、數(shù)據(jù)庫及其管理系統(tǒng)、推理機以及數(shù)據(jù)挖掘智能引擎等的設(shè)計；(2)建立了人工神經(jīng)網(wǎng)絡(luò)在福建省海岸帶環(huán)境預(yù)測中應(yīng)用的模型，提出了復(fù)合決策樹算法在遙感分類的應(yīng)用方法；(3)提出一種新穎的、簡便快捷的人工神經(jīng)網(wǎng)絡(luò)的實現(xiàn)方法，以及決策樹的實現(xiàn)方法，并在原型系統(tǒng)中作了實現(xiàn)。
The definition and characteristics of sdm are set forth, and a structure of spatial data mining system including data source, miner and user interface is put forward . the essential processes of sdm are studied and nine types of rules resulting in mining are discussed . there are 17 kinds of spatial data mining approaches researched in this paper and each method's characteristics are analyzed
闡述了空間數(shù)據(jù)挖掘的定義與特點，提出一種包括數(shù)據(jù)源、挖掘器、用戶界面三層結(jié)構(gòu)的空間數(shù)據(jù)挖掘體系結(jié)構(gòu)，闡述空間數(shù)據(jù)挖掘的基本步驟和從空間數(shù)據(jù)庫中能發(fā)現(xiàn)的九種知識類型，系統(tǒng)研究了17種空間數(shù)據(jù)挖掘方法，闡述了各種方法的特點和適用范圍，闡述了空間數(shù)據(jù)挖掘與其它相關(guān)學(xué)科的區(qū)別與聯(lián)系，指出空間數(shù)據(jù)挖掘的主要研究方向，提出開發(fā)空間數(shù)據(jù)挖掘系統(tǒng)的幾條原則。
The definition and characteristics of sdm are set forth, and a structure of spatial data mining system including data source, miner and user interface is put forward . the essential processes of sdm are studied and nine types of rules resulting in mining are discussed . there are 17 kinds of spatial data mining approaches researched in this paper and each method's characteristics are analyzed
闡述了空間數(shù)據(jù)挖掘的定義與特點，提出一種包括數(shù)據(jù)源、挖掘器、用戶界面三層結(jié)構(gòu)的空間數(shù)據(jù)挖掘體系結(jié)構(gòu)，闡述空間數(shù)據(jù)挖掘的基本步驟和從空間數(shù)據(jù)庫中能發(fā)現(xiàn)的九種知識類型，系統(tǒng)研究了17種空間數(shù)據(jù)挖掘方法，闡述了各種方法的特點和適用范圍，闡述了空間數(shù)據(jù)挖掘與其它相關(guān)學(xué)科的區(qū)別與聯(lián)系，指出空間數(shù)據(jù)挖掘的主要研究方向，提出開發(fā)空間數(shù)據(jù)挖掘系統(tǒng)的幾條原則。

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