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


Authors

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

Presenter

Le Thi Thanh Loan (Vietnam)

Abstract

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