Keywords and phrases: data, web data scraping, real estate data.
Received: October 23, 2020; Accepted: December 26, 2020; Published: March 22, 2021
How to cite this article: Aseel Almansour, Using big data in the real estate sector, Advances and Applications in Statistics 67(2) (2021), 207-224. DOI: 10.17654/AS067020207
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] O. A. Akinboade and E. C. Kinfack, Financial sector development indicators and economic growth in Cameroon and South Africa, Social Indicators Research 115 (2014), 813-836. [2] D. Boyd and K. Crawford, Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon, Information, Communication and Society 15 (2012), 662-679. [3] T. Butler, An institutional perspective on developing and implementing intranet and Internet based information systems, Information Systems Journal 13 (2003), 209-231. [4] P. Daas, M. Roos, C. De Blois, R. Hoekstra, O. Ten Bosch and Y. Ma, New data sources for statistics: experiences at Statistics Netherlands, The 2011 European New Technique and Technologies for Statistics Conference, February 2011, pp. 22-24. [5] T. H. Davenport, J. G. Harris, D. W. De Long and A. L. Jacobson, Data to knowledge to results: building an analytic capability, California Management Review 43 (2001), 117-138. [6] R. Goodspeed, P. Pelzer and C. Pettit, 'Planning our Future Cities: The role computer technologies can play, Planning Knowledge and Research, T. Sanchez, ed., Routledge (Taylor & Francis), New York, 2017, pp. 210-226. [7] C. L. Hammer, D. C. Kostroch and G. Quirós, STA internal group: big data: potential, challenges, and statistical implications, IMF Staff Discussion Note, SDN/17/06, IMF, Washington, DC, 2017. [8] E. Hromada, Real estate valuation using data mining software, Procedia Engineering 164 (2016), 284-291. [9] J. M. A. Santos, Real estate market data scraping and analysis for financial investments, Universidade do Porto, 2018. [10] S. Koshman, Visualization-based information retrieval on the web. Library and Information Science Research 28 (2006), 192-207. [11] C. Lagoze, Big data, data integrity, and the fracturing of the control zone, Big Data and Society July-December 2014, 1-11. [12] S. Madden, From databases to big data, IEEE Internet Computing 16 (2012), 4-6. [13] M. Marjani, F. Nasaruddin, A. Gani, A. Karim, I. A. T. Hashem, A. Siddiqa and I. Yaqoob, Big IoT data analytics: architecture, opportunities, and open research challenges, IEEE Access 5 (2017), 5247-5261. [14] M. Kobayashi and K. Takeda, Information retrieval on the web, ACM Comput. Surv. 32 (2000), 144-173. [15] S. Munzert, C. Rubba, P. Meißner and D. Nyhuis, Automated data collection with R: a practical guide to web scraping and text mining, John Wiley & Sons, 7,987,117, U.S. Patent and Trademark Office, Washington, DC, 2014. [16] P. de Pedraza, S. Visintin, K. Tijdens and G. Kismihók, Survey vs scraped data: comparing time series properties of web and survey vacancy data, IZA Journal of Labor Economics 8 (2019), 1-23. [17] D. Vargason, Data mining techniques for predicting real estate trends, Mathematics and Computer Science Capstones, 2019. [18] K. Winson-Geideman and A. Krause, Transformations in real estate research: the big data revolution, Proceedings of the 22nd Annual Pacific-Rim Real Estate Society Conference, Queensland, Australia, 2016, pp. 17-20. [19] K. Yang, Information retrieval on the web, ARIST 39 (2005), 33-80.
|