International Conference on Construction and Real Estate Management 2016
Data Mining Technology Based on the S-Rough Set and Its Application in the Real Estate Industry
Publication: ICCREM 2016: BIM Application and Off-Site Construction
ABSTRACT
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.
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ACKNOWLEDGEMEnt
This research is supported by Young Key Projects (fund project) in Shandong Women’s University (ZD201306) and Key Projects of Statistical Research in Shandong (TJ2014-88).
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Information & Authors
Information
Published In
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 1077 - 1082
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4
Copyright
© 2017 American Society of Civil Engineers.
History
Published online: Aug 14, 2017
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