Application of Data Mining Techniques to Rural Vernacular Buildings: A Methodology for Characterisation and Awareness-Reference-Cited by-同舟云学术

Application of Data Mining Techniques to Rural Vernacular Buildings: A Methodology for Characterisation and Awareness

Published:2023-12-05 Issue: Volume: Page:1-19
ISSN:1558-3058
Container-title:International Journal of Architectural Heritage
language:en
Short-container-title:International Journal of Architectural Heritage

Author:

Mouraz Catarina P.¹^ORCID,Almeida Ricardo M.S.F.²^ORCID,Ferreira Tiago Miguel³^ORCID,Mendes Silva J.⁴^ORCID

Affiliation:

1. Department of Civil Engineering, University of Coimbra, Coimbra, Portugal

2. Polytechnic Institute of Viseu, School of Technology and Management, Department of Civil Engineering; CONSTRUCT-LFC, Faculty of Engineering (FEUP), University of Porto, Porto, Portugal

3. College of Arts, Technology and Environment - School of Engineering, University of the West of England (UWE Bristol), Bristol, UK

4. ADAI, Department of Civil Engineering, University of Coimbra, Coimbra, Portugal

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Informa UK Limited

Subject

Visual Arts and Performing Arts,Architecture,Conservation

Link

https://www.tandfonline.com/doi/pdf/10.1080/15583058.2023.2287151

Reference44 articles.

1. An energy consumption model for the Algerian residential building's stock, based on a triangular approach: Geographic Information System (GIS), regression analysis and hierarchical cluster analysis

2. Territorial cohesion and prospects for sustainable development: A co-integration analysis

3. Selection of representative buildings through preliminary cluster analysis;Arambula Lara R.;International High Performance Buildings Conference,2014

4. Bussab, W. D. O., E. S. Miazaki, and D. F. D. Andrade. 1990. Introdução à análise de agrupamentos. São Paulo: IME-USP.

5. Carvalho, P. 2009. Património Construído e Desenvolvimento Em Áreas de Montanha. O Exemplo Da Serra Da Lousã. 2nd ed. Lousã: Câmara Municipal da Lousã.