Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-3 of 3
Keywords: Prediction
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
International Journal of Housing Markets and Analysis 1–23.
Published: 12 December 2025
... practices with these preferences can enhance market uptake and satisfaction, offering valuable guidance for promoting sustainable affordable housing in Malaysia. Sustainability Prediction Regression model Sociodemographic Housing preferences Sustainable affordable housing 23 09 2025...
Journal Articles
International Journal of Housing Markets and Analysis (2022) 15 (4): 833–851.
Published: 26 July 2021
... in the real estate market better and take the necessary decisions in a timely manner, if necessary. Originality/value This study considerably adds to the existing literature by providing a better understanding of external factors that affect the housing price in Lithuania and let predict the changes...
Journal Articles
International Journal of Housing Markets and Analysis (2019) 12 (6): 1072–1092.
Published: 14 June 2019
... the collected data into three modeling techniques (artificial neural network [ANN], support vector machine [SVM] and autoregressive integrated moving average [ARIMA]); comparison of the predictive accuracy of the three models to establish the most reliable; and assessment of the influence...
