| The data mining technology is developed rapidly in recent years, a cross-disciplinary, data mining involves a number of areas such as databases, statistics, artificial intelligence and machine learning. The popularity of computer applications generate a large amount of data, data mining to the above disciplines technology is the use of large amounts of data processing. A broad range of data mining applications.The real estate industry as a pillar industry of China’s national economy, has a pivotal role in the development of the economy, is also the key areas of macroeconomic. In recent years, the rapid rise of China’s real estate prices, housing prices in some areas continue to soar, the increase of the rate of increase far beyond the level of overall economic growth and other industry products and services. The trend of rapid growth in house prices, not only greatly affect the quality of life of urban residents, but also the national economy as a whole to continue a destabilizing factor in the smooth development of the issue of real estate prices has become an important economic and social problems caused widespread concern.This article is based on data mining technology in recent years, in conjunction with local real estate price data to study the relationship between the main factors affecting the real estate prices and real estate prices, and use MATLAB tool interface, achieve reasonable prices forecast multiple factors, and thus on the Real estate prices in the next period of time prospect. |
