本文關(guān)鍵詞：國內(nèi)部分城市房地產(chǎn)市場(chǎng)運(yùn)行特征的研究　出處：《華中科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 資金面積因素 數(shù)據(jù)挖掘 擬正交變量群 泡沫

【摘要】：在以往關(guān)于房地產(chǎn)市場(chǎng)運(yùn)行特征的研究中，鮮有文章能夠從房地產(chǎn)市場(chǎng)運(yùn)行的資金面積進(jìn)行分析，并且大都是從需求與供給等因素觀察房地產(chǎn)市場(chǎng)運(yùn)行特征的趨勢(shì)。本文選取了從2005年到2011年國內(nèi)24個(gè)城市房地產(chǎn)市場(chǎng)運(yùn)行相關(guān)的31個(gè)變量，將從資金面積匹配分析房地產(chǎn)市場(chǎng)運(yùn)行特征的情況。 本文從選取的房地產(chǎn)運(yùn)行特征的變量群，通過數(shù)據(jù)挖掘的方法找出合適的子集變量群，而探索出的子集變量群正好是近似于正交的兩個(gè)變量群，稱它為擬正交變量群。接著進(jìn)行特征提取出符合要求的面積因子和資金因子，同時(shí)通過特征構(gòu)造得到因子綜合得分。 同時(shí)基于資金面積因子方法得到一個(gè)分類結(jié)果，與基于數(shù)據(jù)挖掘中的聚類算法的另一個(gè)分類結(jié)果，進(jìn)行比對(duì)，選擇更好的基于資金面積因子方法的分類結(jié)果。并可使用由特征構(gòu)造出的綜合因子指標(biāo)分析城市的房地產(chǎn)市場(chǎng)運(yùn)行水平。 最后，建立資金面積匹配與泡沫的關(guān)聯(lián)模型，該模型運(yùn)用于房地產(chǎn)市場(chǎng)運(yùn)行特征的合理性分析。經(jīng)過分析后得到定性的結(jié)論:資金面積規(guī)模匹配，則房地產(chǎn)市場(chǎng)運(yùn)行合理；資金面積不匹配時(shí)，，如果資金規(guī)模高于面積規(guī)模，則房地產(chǎn)市場(chǎng)運(yùn)行不合理；資金面積不匹配時(shí)，如果資金規(guī)模低于面積規(guī)模，則房地產(chǎn)市場(chǎng)運(yùn)行合理。
[Abstract]:In the past about the real estate market movement characteristic research, few articles can carry on the analysis from the real estate market movement capital area. And most of the real estate market from demand and supply and other factors to observe the trend of the operation of the real estate market. This paper selects the 24 cities from 2005 to 2011 in the operation of the real estate market related to 31 variables. Will match from the capital area analysis of the real estate market operating characteristics of the situation. In this paper, from the selected real estate operating characteristics of the variable group, through the method of data mining to find the appropriate subset of variables, and the exploration of the subset of variables is similar to orthogonal groups of two variables. It is called the quasi orthogonal variable group, and then the area factor and the fund factor which meet the requirements are extracted by the feature, and the comprehensive score of the factor is obtained by the feature construction. At the same time, we get a classification result based on the fund area factor method, and compare it with another classification result of the clustering algorithm based on data mining. A better classification result based on the capital area factor method is selected, and the comprehensive factor index constructed from the features can be used to analyze the operation level of the real estate market in the city. Finally, the paper establishes the correlation model between the capital area matching and the bubble, which is applied to the rationality analysis of the real estate market operation characteristics. After the analysis, the qualitative conclusion is obtained: the capital area scale matching. The operation of real estate market is reasonable; When the capital area does not match, if the capital scale is higher than the area scale, the real estate market operation is unreasonable; When the capital area does not match, if the capital scale is lower than the area scale, the real estate market operation is reasonable.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F299.23

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