[HTML][HTML] The non-linear dynamics of South Australian regional housing markets: A machine learning approach

A Soltani, CL Lee - Applied Geography, 2024 - Elsevier
Traditional linear models often struggle to capture regional housing markets' complex, non-
linear dynamics. This study addresses this gap by developing and applying advanced …

[HTML][HTML] Machine learning framework for evaluating energy performance certificate (EPC) effectiveness in real estate: A case study of Turin's private residential market

F Dell'Anna - Energy Policy, 2025 - Elsevier
Abstract The Energy Performance Certificate (EPC) is a key tool for advancing building
energy efficiency across Europe. By offering standardized information on a property's energy …

[HTML][HTML] Predicting Financial Performance in the IT Industry with Machine Learning: ROA and ROE Analysis

B Tutcu, M Kayakuş, M Terzioğlu, GF Ünal Uyar… - Applied Sciences, 2024 - mdpi.com
IT is recognized as the engine of the digital world. The fact that this technology has multiple
sub-sectors makes it the driving force of the economy. With these characteristics, the sector …

[HTML][HTML] Machine Learning Valuation in Dual Market Dynamics: A Case Study of the Formal and Informal Real Estate Market in Dar es Salaam

F Nyanda, H Muyingo, M Wilhelmsson - Buildings, 2024 - mdpi.com
The housing market in Dar es Salaam, Tanzania, is expanding and with it a need for
increased market transparency to guide investors and other stakeholders. The objective of …

Predictive Analysis of Local House Prices: Leveraging Machine Learning for Real Estate Valuation

J Hernandez, D Chang, S Gutierrez… - SMU Data Science …, 2024 - scholar.smu.edu
This paper presents a comprehensive study examining the real estate market potential in the
dynamic urban landscapes of Frisco and Plano, Texas. Combining traditional real estate …

KRİZLERİN KURUMSAL İTİBAR ÜZERİNDEKİ ETKİLERİ: PATİSWİSS ÖRNEĞİ

FY Açıkgöz - Yönetim Bilimleri Dergisi, 2025 - dergipark.org.tr
Kriz, hayatın her alanında beklenmedik ve tehdit edici bir durum olarak karşımıza çıkabilir.
Bu çalışmada, Patiswiss' in yaşadığı kriz, sosyal medyanın kriz yönetimindeki rolü ve marka …

Prediction of Apartment Price Considering Socio Economic and Crime Rates Factors in DKI Jakarta

D Noorcahya, AP Rifai, A Darmawan… - International Journal of …, 2023 - ijadis.org
Investing in real estate properties in Indonesia is highly lucrative due to their consistent
appreciation in value. Amongst the various property types, apartments are particularly …

Leveraging Hybrid Machine Learning Technique For Effective House Rental Price Forecasting

D Komalavalli, N Anbalagan… - … on Advances in …, 2024 - ieeexplore.ieee.org
These days, figuring out the house's sale price is crucial because both the land and the
house's prices rise annually. Therefore, the next generation needs a simple approach for …

Comparing Linear Regression, Random Forest and Support Vector Machine for Rental House Price Forecasting in Bahrain

HA Khunji, AM Zeki - … on Data Analytics for Business and …, 2024 - ieeexplore.ieee.org
The real estate sector in Bahrain plays a pivotal role in its economy, with factors such as
land price and house price predictions being crucial. Previous studies have addressed the …

House Base-Price Prediction with Machine Learning Methods

DGI Simanungkalit, B Meylia, J Salim… - 2023 International …, 2023 - ieeexplore.ieee.org
Various factors like location, size, age, and condition must be considered to predict house
prices accurately. This study utilizes historical sales data and demographic information in …