On spatial data mining and knowledge discovery 論空間數(shù)據(jù)挖掘和知識發(fā)現(xiàn)
Sdml : a spatial data mining language for spatial database 基于空間數(shù)據(jù)庫的空間數(shù)據(jù)挖掘語言
spatial data mining technology offers valuable means for discovering knowledge in environmental database 空間數(shù)據(jù)挖掘技術為環(huán)境數(shù)據(jù)庫的知識發(fā)現(xiàn)提供了有效的途徑。
This paper places great emphasis on the study of the spatial data mining methods and their integration with gis 本文重點對空間數(shù)據(jù)挖掘算法及其與gis的集成進行了研究。
Aiming at the problem of the integration between the spatial data mining and gis, the paper proposes three integrated modes 針對空間數(shù)據(jù)挖掘技術與gis之間的集成問題本文提出了三種集成模式。
The main task of spatial data mining is to discovery the implicit, previous unknown, and potential useful information from these data 如何發(fā)現(xiàn)在大型空間數(shù)據(jù)庫中所隱藏的、預先未知的信息以輔助相應的應用,這就是目前空間數(shù)據(jù)挖掘的任務。
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,特別介紹了關聯(lián)規(guī)則數(shù)據(jù)挖掘的方法應用于空間數(shù)據(jù)庫。
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 主要內容有:(1)建立起空間數(shù)據(jù)挖掘的基礎理論和技術框架,進一步完善了空間數(shù)據(jù)挖掘的理論和方法。
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)方法上的創(chuàng)新數(shù)據(jù)挖掘技術(datamining)是目前國際上數(shù)據(jù)庫領域和決策支持研究領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 他的專門研究范圍包括智能空間決策支援系統(tǒng)、空間優(yōu)化、空間分析的模糊集合及邏輯、地理計算學、空間數(shù)據(jù)發(fā)掘及知識發(fā)現(xiàn)。