Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
by
 
Ramos, Nuno M.M. author.

Title
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

Author
Ramos, Nuno M.M. author.

ISBN
9783319222943

Personal Author
Ramos, Nuno M.M. author.

Edition
1st ed. 2016.

Physical Description
X, 48 p. 21 illus., 2 illus. in color. online resource.

Series
SpringerBriefs in Applied Sciences and Technology,

Contents
Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.

Abstract
The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies. The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station. The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists.

Subject Term
Building construction.
 
Materials.
 
Data mining.
 
Building Repair and Maintenance. http://scigraph.springernature.com/things/product-market-codes/T23055
 
Structural Materials. http://scigraph.springernature.com/things/product-market-codes/Z11000
 
Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes/I18030

Added Author
Delgado, João M.P.Q.
 
Almeida, Ricardo M.S.F.
 
Simões, Maria L.
 
Manuel, Sofia.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-319-22294-3


LibraryMaterial TypeItem BarcodeShelf NumberStatus
IYTE LibraryE-Book2088351-1001TH3301 -3411Online Springer