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Data Mining Technology Based on the S-Rough Set and Its Application in the Real Estate Industry

机译:基于S-Rife集的数据挖掘技术及其在房地产业中的应用

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This paper gives a new data mining technology based on S-rough set and gives the application in the real estate industry's sustainable development. The research results are as follows: firstly, the dynamic decision system model based on S-rough set is established. A new algorithm of attribute reduction based on S-rough set attribute is proposed, which can generate decision rules, and then, it can identify the other data. Second, the method can be extended to a plurality of dynamic information decision system, such as investment risk analysis and profit curve analysis and other fields. Third, the real estate industry's sustainable development empirical analysis is made, and it found that sustainable development is closely related to resources, environment, population, and economy.
机译:本文提供了一种基于S粗糙集的新型数据挖掘技术,并在房地产业可持续发展中提供了应用。研究结果如下:首先,建立了基于S粗糙集的动态决策系统模型。提出了一种基于S-ross Set属性的新属性缩减算法,可以生成决策规则,然后,它可以识别其他数据。其次,该方法可以扩展到多个动态信息决策系统,例如投资风险分析和利润曲线分析和其他领域。第三,房地产业的可持续发展实证分析是制造的,发现可持续发展与资源,环境,人口和经济密切相关。

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