10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Contributed paper list

Contributed Paper C205


Data mining of big data to analyze the trends in the real estate market oh Ho Chi Minh City, Viet Nam 2014-2015


Loan Le (Viet Nam)
Hiep Do (Viet Nam)
Binh Nguyen (Viet Nam)


Le Thi Thanh Loan (Vietnam)


Big data is a new concept that has been referred to regularly during recent years. Being aware of the great potential of Big data, the authors have prepared this paper “Data mining of Big data to analyze trends in the real estate market of Ho Chi Minh City, Viet Nam, for the period 2014 – 2015”. The authors have used web scraping technology and other advanced technologies to monitor the movements in the real estate market via online listings and then analyze them from different dimensions of information. This is a very good and reliable source of information to analyze real estate market trends in the future and it opens up a new direction in collecting information to produce statistics.