空间数据挖掘与GIS集成技术研究-信号与信息处理专业毕业论文.docxVIP

武汉理工大学硕士学位论文Abstract 武汉理工大学硕士学位论文 Abstract Nowadays，Geographic Information System and Data Mining and Knowledge Discovery technology are two bright pearls of information technology．The former emphasizes particularly on the management of information and the latter emphasizes particularly on the processing and analysis of information． There are abundant data and information in the database of Geographic Information System．These data and information include much implicit and valuable knowledge．Presently GIS is limited to the collection,query and stafisdc of data．It Can not discover relations and rules in data while data mining techniques Can analyze GIS data at a higher level which Can discover the implicit knowledge．Discovering knowledge from spatiaI database ofGIS with data mining techniques，namely spatial data血IliI培，has become an important research aspect in data IIlimIlg fields． The development ofthe two techniques makes it possible to mine the knowledge and rules that behind the massive spatiM data which is stored in GIS by integrating the two techniques． The main task of spatial data mining is discovering the implicit,unknown information to assist relevant application．At the same time，spatial association rule is one of the most primary knowledge rules in the豫sult of spatial dam mining．It emphasizes particularly on confirming the relationship of data in different fields．and finding out the dependence ofdata in multi-fields． This paper mainly researches On spatial data mining and GIS Integration mode with GIS spatial database through studing knowledge discovery and data mining．In the paper a association knowledge model and a spatial data mining system architecture based on the MapX are presented．Moreover,model data are prdaeated and association rules mining algorithm Apriori is implemented．The knowledge rules by data mining reflect a broad application prospects by integrating spatiaI data mining and GIS．The main thesis is as follows： (1)Through the research ofthe k