The Study on Urban Economics Sustainable Development System Simulation based on Data Mining
Simulating a economics sustainable system is arduous task, as the continuous growth of information -both because of an increase in the number of related literature as well as an explosion in available information- makes the use of complex data mining techniques indispensable. Due to the fact that economics sustainable development represents a vast topic which inherently includes information about social, economic and environmental aspects, it is necessary to incorporate data from widely disconnected sources. The development of a economics sustainable model using different simulation techniques can be a powerful tool for any planning process. The use of dynamical systems allows us to unearth new theoretical models and furthers our understanding the relationships found within systems; all with a global visualization of the problem at hand. The distributed agencies helped us to see very concrete cases, and the interpersonal relations that exist among the agents. And finally, the cellular automatons by their simplicity and processing of local information, help us to observe the changes of the ground use, in a geographical space.
social simulation economics sustainable urban growth data mining
Li Wang Lamei Tang
Department of Economic Management Hunan City University Yiyang, Hunan, China
国际会议
2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)
南昌
英文
380-383
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）