Supervised Machine Learning Approach to Housing Market-Reference-Cited by-同舟云学术

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Supervised Machine Learning Approach to Housing Market

Published:2023-11-14 Issue: Volume: Page:349-355
ISSN:
Container-title:2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD)
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Author:

Mohd Ismayatim Izat Hakimi¹,Najiah Zakaria Hanis¹,Ramadhani Ihsanul Arifin²,Abdullah Nurzulaikah¹,Ridzuan Fakhitah¹,Mustafa Wan Azani³,Al-Farouni Mohammed⁴

Affiliation:

1. Universiti Malaysia Kelantan,Faculty of Data Science and Computing,Kota Bharu,Malaysia

2. Universitas Mercu Buana,Faculty of Computer Science,Jakarta,Indonesia

3. Universiti Malaysia Perlis,Faculty of Electrical Engineering & Technology,Arau,Perlis,02600

4. The Islamic University,Faculty of Engineering,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10584830/10584588/10585192.pdf?arnumber=10585192

Reference22 articles.

1. Malaysia’s housing market cooling rapidly;Delmendo,2024

2. Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data

3. Housing Price Prediction via Improved Machine Learning Techniques

4. Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies

5. Ensemble Learning Based Rental Apartment Price Prediction Model by Categorical Features Factoring

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