The Study Of Market Comparison Approach Of Real Estate Appraisal Based On The Background Of Big Data

With the booming of the real estate industry, the industry of the real estate appraisal is also booming rise. However, there are still some difficulties of the actual application of assessing the real estate by the method of the market comparison method. In general, the choice of the real estate case and the adjustment of the real estate situation is generally rely on the experience of the assessment. It is generally believed that the same month of real estate prices relatively stable, so the assessment division do not modified the real estate transaction date. Big data as the basis of resources, in china the real estate appraisal industry and brokerage industry study on the future development direction of the industry. For this purpose, this paper chooses the Baidu index between June-2013 and July-2015 as the research sample to synthesize the network search index. The paper study the relationship between the real estate price and the network search index and test the predictive power of the synthetic network search index.its main contribution is about: 1. Starting from the background of big data by the Baidu index, the paper study how to modify the real estate price by the synthetic network search index of user’s attention. So it expands the research perspective and provides theoretical support of the real estate appraisal. 2. Choosing the real estate cases by theory of pattern recognition, Nearest neighbor method and fuzzy clustering method is creating the method of the choice of real estate cases.The result shows that: 1. In the background of information technology, Users find information on the network more and more frequently. There is a correlation between web search index and the price of the real estate. Look from the economics angle of view, the real estate price changes are the result of Supply and demand. Such as income levels, preferences, expectations and other factors will have an impact on the demand of the real estate. 2. Whether the characteristics of the real estate situation is added weight, it will affect the choice of the case. 3. In comparison with the actual operation, It will improve the accuracy of the result of choosing the real estate case from the quantitative level. 4. Compared with the traditional transaction date correction, the error of the results of the assessment of the real estate is reduced after the network index is used, which makes the evaluation results more close to the results of the trading real estate.Implications of this paper are: firstly, Relying on large data, the establishment of real estate case database and the establishment of real estate assessment platform will reduce the workload of real estate assessment division, and improve the accuracy of real estate assessment from the quantitative level. Secondly, enhancing the professional capacity building, improve the professional competence and constantly learning new knowledge, will improve the scientific and accurate valuation during the use of the actual work. Thirdly, for the valuation agencies, it is beneficial to improve the credibility of the valuation agencies and the industry’s competitiveness. So they can choose to take the road of specialization, but also can choose to take a path of diversification. And it is conducive to the healthy development of the industry. Finally, because the real estate market is not completely market and there are many factors that affect the price of the real estate. So the real estate assessment needs to guide the real estate market order and plays an important role in the healthy development of the real estate market.