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Application of Data Mining Technique...
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Ramos, Nuno M.M.
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions/ by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel.
作者:
Ramos, Nuno M.M.
其他作者:
Delgado, João M.P.Q.
面頁冊數:
X, 48 p. 21 illus., 2 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Building repair. -
電子資源:
https://doi.org/10.1007/978-3-319-22294-3
ISBN:
9783319222943
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Ramos, Nuno M.M.
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,2191-530X. - SpringerBriefs in Applied Sciences and Technology,.
Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
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.
ISBN: 9783319222943
Standard No.: 10.1007/978-3-319-22294-3doiSubjects--Topical Terms:
1254762
Building repair.
LC Class. No.: TH3301-3411
Dewey Class. No.: 690.24
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
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