A Novel Analysis System for Urban Construction Information Based on Case-Based Reasoning
International Journal of Smart Home
Urban construction is the important infrastructure of the city, and it is the material basis for the urban survival and development. In this paper, a NASUCI (Novel Analysis System for Urban Construction Information) is proposed. Using data mining technology, case-based reasoning technology, the system focused on providing better decision support for urban construction. The system is composed of user management, enterprise information management, geographical information management, construction
... information display, construction information management, urban construction information analysis, and comprehensive statistics. NASUCI can help urban planners from a large number of original data mining more effective information, and to provide the chart display, make the analysis of urban construction become more scientific and efficient. However, we find that there is little research on the urban construction information analysis and mining system. Urban construction is the important part of urban management, which is the basic work for the creation of good conditions for the management of cities. Urban construction can create a pleasant living environment for the people, protect the normal life, and service the urban economic development. The main content of this paper is to design and implement a novel analysis system for urban construction information. This system can help urban planners from a large number of original data mining more effective information, and to provide the chart display, make the analysis of urban construction information become more scientific and efficient. Besides, this system provides the function of construction information display and construction information management. With this system, urban planners can manage construction information and get effective information easily, which can improve their work efficiency and quality. This system uses the MVC design pattern, the J2EE technology , CBR technology, the Hibernate framework, Dhtmlx component, MySQL database and Baidu Maps API plugin technology to realize the urban construction information analysis. After a series of calculations, system will show the inputs of the new case, the top 7 cases of the highest similarity, and the distribution of the construction enterprises. Also, there will be a pie chart and a relevant conclusion as showed in Figure 6 .