Data Mining In The Community Of Smart Home System For The Application And Research

With the development of social information technology, smart home based on community as a new way of life, step by step is to change people’s life. Units of community living way in our country has developed quite mature, but the services provided by the community is not enough perfect and the management is mechanization. Therefore, improve work efficiency, enrich and perfect the community service is an increasingly important issue. In increasingly complex community service, community service management system will produce a large number of user data and information, which is chaotic, random, fuzzy and also contain a lot of potential useful information. If we can reasonable use of these data and mining, the community management will recieve help for decision-making, so as to the community service. Data mining is through the analysis of the internal relation of these data, the rules and patterns, to extract the valuable information. In this way, it will provide a better decision support for community managers, and to provide users with more humanistic service and modern community.Smart home as now one of the important direction for the development of science and technology, not only can bring us convenient life, but also can overturn our cognition of traditional housing. For this reason, more and more families are starting to install the smart home system. But at present most of the smart home system function is relatively single, this simply and limitedly residential internal control smart home system has obviously can’t satisfy people’s needs. Becase people are more concerned about the communication with the world, safety, and advertising, housekeeping, food and other information services. In order to adapt to this social demand, combining community service and smart home system, with this way to enrich smart home system of community service, the smart home system will be the trend of future development potential of smart home system.Therefore, based on the existing smart home system, in-depth analysis of the data mining system architecture, which is suitable for the community to build data mining system architecture. Applying clustering analysis and classificatial prediction method in data mining technology in the community of users’ consumption and historical repair data for data analysis, according to the data integration and analysis results provide decision basis for community service managers. Information push system based on XMPP agreement at the same time as a bridge between the community and smart home system, combining community service and smart home system, convenient for community information interaction between managers and smart home users, so as to provide users with more humanistic services and modern community.