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Study And Prototype System Implemention Of Spatial Association Rules Based On J2EE

Posted on:2005-03-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q H ZhangFull Text:PDF
GTID:2168360122467570Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the development and application of database technology and Vector Map Technology,large quantities of spatial data have been produced and stored in spatial database and spatial data warehouse. The main task of spatial data mining is to discovery the implicit, previous unknown, and potential useful information from these data. 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. The remainder of this paper is organized as follows:1. In the paper we expound the general theories and concepts of the spatial data structure, spatial database and spatial data warehouse, and introduce several typical prototype systems of spatial data mining. 2. We discuss several methods of spatial data preprocessing: empty data filling, noise data processing, data reduction, spatial characteristic generalizaion based on attribute induction, and sequent data discretization, which includes common discretized methods, GIS attribute data reduction based on Rough theory, and attribute data generalization based on cloud theory.3. In the paper we research the Apriori arithmetic of association rules, probe into several efficient methods to improve the Apriori arithmetic, and introduce emphatically a mining method without generating candidate frequent itemsets: FP-tree. 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. The algorithm improves the efficiency greatly by complex spatial computing and analyzing to gain the association between spatial attributes, accordingly, it avoids the complex process of gaining frequent itemsets. On the base of the relative theories above, we design a spatial data mining prototype system based on J2EE, which includes three functional modules: spatial data management and interactive module based on Web-GIS,SDM(spatial data mining) module, and database service module. We take the land use of longhai city as an example, and test the system on it.
Keywords/Search Tags:Spatial data mining, data preprocessing, Spatial association rules, J2EE, System Architectural Framework
PDF Full Text Request
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