association n. 1.聯(lián)合;聯(lián)系;聯(lián)盟;合伙;交際,交往。 2.社團(tuán) ...
spatial adj. 1.空間的;在空間中存在[發(fā)生,占有位置]的。 2.占大篇幅的。 too spatial a theme for a book like this 要占很大篇幅,不是這本書所能容得下的主題。 n. -ity 空間性。 adv. -ly
association n. 1.聯(lián)合;聯(lián)系;聯(lián)盟;合伙;交際,交往。 2.社團(tuán),協(xié)會(huì);學(xué)會(huì)。 3.【生物學(xué)】群落,社會(huì)。 4.聯(lián)想。 5.【化學(xué)】締合。 6.英式足球。 an association of banks and bankers 銀行公會(huì)。 association of ideas 聯(lián)想。 in association with 與…聯(lián)合。 n. -ism 聯(lián)想論;聯(lián)想心理學(xué)。 n. -ist 1.聯(lián)想論者。 2.協(xié)會(huì)會(huì)員。
The spatial association rule mining module can discover the location association among geographic objects in a map 空間關(guān)聯(lián)規(guī)則挖掘模塊能夠發(fā)現(xiàn)地圖上的各種地理對(duì)象之間的位置關(guān)聯(lián)關(guān)系。
The article introduces the common way of applying data mining technology in spatial database , especially spatial association rule - based spatial data mining arithmetic 摘要介紹了數(shù)據(jù)挖掘在空間數(shù)據(jù)庫中應(yīng)用的一般方法,特別介紹了關(guān)聯(lián)規(guī)則數(shù)據(jù)挖掘的方法應(yīng)用于空間數(shù)據(jù)庫。
In the mining of spatial association rules , a simple method defining transactions in spatial data is adapted , which can keep the location relationship among spatial data and is easy to compute 在挖掘空間關(guān)聯(lián)規(guī)則時(shí),本文采用了一種簡(jiǎn)單的在空間數(shù)據(jù)中定義事務(wù)的方法,該方法能夠較好的保持空間數(shù)據(jù)之間的空間位置關(guān)系并且易于計(jì)算。
( 3 ) the definition of spatial association rule is defined as the spatial and non - spatial relations between spatial objects . the forms of spatial association rule are abundant . two important types of spatial association rule are studied ( 3 )提出空間關(guān)聯(lián)規(guī)則主要指空間對(duì)象之間的空間和非空間關(guān)系,指出空間關(guān)聯(lián)規(guī)則的形式十分豐富,重點(diǎn)研究了兩種形式的空間關(guān)聯(lián)規(guī)則的挖掘。
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(shí)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(shí)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(gè)域之間的依賴關(guān)系。
After understanding well the association rules , an improved apriori arithmetic : mbar ( ( map - based association rule mining ) , has been developed and tested in the paper . 4 . we analyze the general theories of spatial association rules , especially bring out a multiple - level spatial association rules arithmetic 在充分理解理論基礎(chǔ)上,文中提出了一種改進(jìn)的關(guān)聯(lián)規(guī)則算法:一種基于映射技術(shù)的關(guān)聯(lián)規(guī)則采掘算法mbar ,并進(jìn)行簡(jiǎn)單的測(cè)試,驗(yàn)證算法的有效性。
In this paper , data mining techniques based on spatial database , especially gis database , are studied , of which spatial data classification based on rough set theory and spatial association rule mining are studied in detail . the differences between mining in spatial database and in relational database are analyzed 本文以基于空間數(shù)據(jù)庫特別是gis數(shù)據(jù)庫的數(shù)據(jù)挖掘技術(shù)為研究對(duì)象,主要研究了基于rough集理論的空間數(shù)據(jù)分類和空間關(guān)聯(lián)規(guī)則挖掘技術(shù),分析了在空間數(shù)據(jù)庫與在關(guān)系數(shù)據(jù)庫中進(jìn)行數(shù)據(jù)挖掘的區(qū)別。
Firstly , the notion of the form as a = > b [ s % , c % ] is researched and some algorithms are discussed . an algorithm named a progressive refinement approach to spatial data mining is discussed in detail . and a new thought of mining spatial association rule based on spatial data cube is brought forward 闡述了a = > b [ s , c ]形式的空間關(guān)聯(lián)規(guī)則的基本概念和算法,詳細(xì)研究了一種逐步求精的空間關(guān)聯(lián)規(guī)則挖掘算法的實(shí)現(xiàn);提出一種基于空間數(shù)據(jù)立方體的空間關(guān)聯(lián)規(guī)則挖掘的新思路;將空間統(tǒng)計(jì)分析引入空間關(guān)聯(lián)規(guī)則挖掘領(lǐng)域,研究了空間權(quán)重矩陣、空間自相關(guān)、空間關(guān)聯(lián)等的度量函數(shù),并利用空間統(tǒng)計(jì)分析技術(shù)發(fā)現(xiàn)空間相關(guān)關(guān)系和空間關(guān)聯(lián)規(guī)則。
On the basis of studying spatial data mining method , a spatial data mining system is designed and realized , which can obtain spatial association rules and spatial classification rules from gis database . the system consists of two modules engaged in mining spatial association rules and spatial classification rules separately 在研究空間數(shù)據(jù)挖掘方法的基礎(chǔ)上設(shè)計(jì)并實(shí)現(xiàn)了一個(gè)用于從gis數(shù)據(jù)庫中挖掘空間關(guān)聯(lián)規(guī)則和進(jìn)行空間數(shù)據(jù)分類的空間數(shù)據(jù)挖掘系統(tǒng),該系統(tǒng)可分為兩個(gè)模塊,分別進(jìn)行空間關(guān)聯(lián)規(guī)則挖掘和空間數(shù)據(jù)分類。