房地产市场分析预测中的数据挖掘技术应用研究

Application of Data Mining Technology in Real Estate Market Prediction

数据挖掘是目前进行房地产市场分析和预测的新技术,本文从数据挖掘的概念、常用方法入手,探讨了其在房地产市场分析中的各种应用,分析了在房地产应用中的数据挖掘流程,并以南京市房地产市场为例,运用数据挖掘技术中的神经网络方法对房地产市场进行了模拟,研究了运用神经网络对房地产市场进行分析和预测的过程和方法,并得出了可靠的结论。文章最后对数据挖掘在房地产领域的应用面临的问题做了分析和展望。

Data mining technology is a new analyzing and predicting tool for real estate market. The application of data mining technology in real estate market was introduced and an application flow both in theory and practical example was developed. Firstly, The definition, application methods were introduced and using flow of data mining in real estate was analyzed. Then Nanjing real estate market was taken as an example to illustrate how to use neural network one of the data mining technologies to analyze and forecast real estate market. Finally, some problems about data mining technology was brought forward and prospect was discussed. The results show that data mining produces high prediction accuracy in real estate data analyses and market prediction.