spatial association造句
例句與造句
- 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，本文采用了一種簡單的在空間數(shù)據(jù)中定義事務的方法，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。 - It's difficult to find spatial association in a sentence. 用spatial association造句挺難的
- 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(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)計并實現(xiàn)了一個用于從gis數(shù)據(jù)庫中挖掘空間關(guān)聯(lián)規(guī)則和進行空間數(shù)據(jù)分類的空間數(shù)據(jù)挖掘系統(tǒng)，該系統(tǒng)可分為兩個模塊，分別進行空間關(guān)聯(lián)規(guī)則挖掘和空間數(shù)據(jù)分類。