Ramos, Nuno M.M. <br/><br/>
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions  [electronic resource] / 
by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel. 
 - 1st ed. 2016. 
 - X, 48 p. 21 illus., 2 illus. in color.  online resource. 
 - SpringerBriefs in Applied Sciences and Technology,  2191-5318 .
 - SpringerBriefs in Applied Sciences and Technology, .
<br/><br/>Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319222943 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-22294-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Buildings—Repair and reconstruction.<br/>Buildings—Maintenance.<br/>Building materials.<br/>Data mining.<br/>Building Repair and Maintenance.<br/>Structural Materials.<br/>Data Mining and Knowledge Discovery.
<br/><br/><label>LC Class. No.: </label>TH3301-3411 
<br/><br/><label>Dewey Class. No.: </label>690.24