The Method Research Of Extension Architechture Design Data Mining

The Extension Architecture Design is to use the extension analysis and extension transformation to solve the problems of the design process, which involves data and utility is very large, especially in the design conditions of changing circumstances, deal with the dynamic changes of data and find the solution to the problem of design knowledge is the key to solve the problem of architectural design of contradictions.Extension Architecture Design Data Mining(hereinafter referred to as EADDM) is an Extension Data Mining in Extension of architecture design. EADDM method is to put the extension data mining method combined with extension architecture design problems, using the extension data mining method to find knowledge in the extensionarchitectural design database, to provide data and information support for the extension architecture design to solve the problem. This article will be the extension of data mining methods used in the extension building design, architectural design aims to establish the extension database; build EADDM method; establish EADDM processes; and explore EADDM method a certain specific knowledge in the process of solving design problem.This paper has established the extension building design database structure, form, as well as a variety of data collection and forms of expression, so complex and diverse architecture design data Extension With a more unified and capable of being recognized as a form of computer. Extension architectural design architectu re design database includes basic database and extension architectur e design knowledge base.This paper constructs several methods of the extension architecture design data mining. In based database of extension architectural design, extension classificati on, conduction and extension clustering method is the main used to get extension knowledge; For extension of architecture design knowledge base, by using the principle of the extension analysis, obtain extension knowledgebased on the development of knowledge extension and extension knowledge chain. According to data mining methods and extension of architectural design issues, this paper elaborates architectural design data mining processExtension of special architectural design in mining, mining for the re alization of the goal, through the issue of extension of architectural space design, form design issues, structural design problems Extension knowledge mining provides for the extension of knowledge and ways of building design issues have been resolved, so that can be Extension of building space, form, structure design more scientific rationality, but also better able to meet the demand for construction and the environment.In extension architecture design special knowledge mining, for the realization of the goal, through extension knowledge mining of the space design problems form design problems and structural design problems, as the extension knowledge and approach for architectural design problems are solved, to make the extension architecture design of space, form, structure more scientific, reasonable, also can better satisfy people demand for building and environment.In this paper, the extension data mining method combined with extension of architectural design, not only enrich and improve the system of architecture design methods while also promoting the development of intelligent computer-aided architectural design, provide new scientific methods for architectural design innovative and intelligent software development.