The Method Research Of Extension Architecture Programming Data Mining

Extension architecture programming is the preparatory planning for solving contradiction problems and innovations problems in architecture design project, which contains a large quantity of messages and datas of programming. Ex tension architecture programming demands various of method which could be using to collect and analysis related data, to reveal the value orientation of designer, user and investor of architecture, to find the nature and humanity influence on architecture, to provide scientific basis for design. By using the method of extension data mining, we would get the important information contained in extension architecture programming.Extension architecture programming data mining(EAPDM) is a special extension data mining which aimd at extension architecture programming. In this article, by consolidating extension data mining and extension architecture programming and researching the data and database of extension architecture programming, to present EAPDM method and achievable EAPDM application method for extension architecture programming problems.The mining object of EAPDM is extension architecture programming database. Extension architecture programming database consists of extension architecture programming data with programming message, therefore, extension architecture programming database is the foundation of EAPDM. The aim of EAPDM is finding the extension knowledge from extension architecture programming database which relate to the solution of contradiction and innovative programming problems. By consolidating the aim and foundation of EAPDM and the feature of architecture programming, extenics and data mining, we give the renewal method for extension architecture programming database, and the alternate regu lation of extension architecture programming data. Considering the methods and technological process of data mining, the methods and technological process of EAPDM for the aim of EAPDM was given.In terms of the application of EAPDM, some specific application methods about a series of main extension architecture programming problems were given. According to site problem, space problem and form problem of architecture programming, apposite data items were chosen. Mining methods were determined according the feature of above-mentioned problems, these programming problems was expound with examples according the principle of mining. The key points of this research are possibility of the mining methods and selceting appraisal characteristic. As a result of expanding the existing extension data mining methods, EAPDM becomes appropriater for mining the knowledge relate to extension architecture programming problems and a new effictive means for contradiction and innovative problems of programming.In this research, extension data mining methods were applied in extension architecture programming for the first time, the research structure of extension architecture programming data, extension architecture programming database, EAPDM methods and EAPDM application methods was set up. The achievement of this research would further improve the system of extension architecture programming methods, moreover, it would provide a new approach for solving contradiction and innovative problems of architecture programming by artific ial intelligence.