spatial adj. 1.空間的;在空間中存在[發生,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.聯合;聯系;聯盟;合伙;交際,交往。 2.社團,協會;學會。 3.【生物學】群落,社會。 4.聯想。 5.【化學】締合。 6.英式足球。 an association of banks and bankers 銀行公會。 association of ideas 聯想。 in association with 與…聯合。 n. -ism 聯想論;聯想心理學。 n. -ist 1.聯想論者。 2.協會會員。
The spatial association rule mining module can discover the location association among geographic objects in a map 空間關聯規則挖掘模塊能夠發現地圖上的各種地理對象之間的位置關聯關系。
The article introduces the common way of applying data mining technology in spatial database , especially spatial association rule - based spatial data mining arithmetic 摘要介紹了數據挖掘在空間數據庫中應用的一般方法,特別介紹了關聯規則數據挖掘的方法應用于空間數據庫。
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 在挖掘空間關聯規則時,本文采用了一種簡單的在空間數據中定義事務的方法,該方法能夠較好的保持空間數據之間的空間位置關系并且易于計算。
( 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 )提出空間關聯規則主要指空間對象之間的空間和非空間關系,指出空間關聯規則的形式十分豐富,重點研究了兩種形式的空間關聯規則的挖掘。
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 同時空間關聯規則是空間數據挖掘結果的一種最主要的知識規則,它側重于確定數據中不同領域之間的聯系,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上,文中提出了一種改進的關聯規則算法:一種基于映射技術的關聯規則采掘算法mbar ,并進行簡單的測試,驗證算法的有效性。
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 本文以基于空間數據庫特別是gis數據庫的數據挖掘技術為研究對象,主要研究了基于rough集理論的空間數據分類和空間關聯規則挖掘技術,分析了在空間數據庫與在關系數據庫中進行數據挖掘的區別。
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 ]形式的空間關聯規則的基本概念和算法,詳細研究了一種逐步求精的空間關聯規則挖掘算法的實現;提出一種基于空間數據立方體的空間關聯規則挖掘的新思路;將空間統計分析引入空間關聯規則挖掘領域,研究了空間權重矩陣、空間自相關、空間關聯等的度量函數,并利用空間統計分析技術發現空間相關關系和空間關聯規則。
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 在研究空間數據挖掘方法的基礎上設計并實現了一個用于從gis數據庫中挖掘空間關聯規則和進行空間數據分類的空間數據挖掘系統,該系統可分為兩個模塊,分別進行空間關聯規則挖掘和空間數據分類。