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Ramos, Nuno M. M.; Delgado, Joao M. P. Q.; Almeida, Ricardo M. S. F.; Almeida, Ricardo; Simoes, Maria L.; Manuel, Sofia - Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions - 9783319222936 - V9783319222936
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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

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Description for Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions paperback. Series: SpringerBriefs in Applied Sciences and Technology. Num Pages: 58 pages, 19 black & white illustrations, 2 colour illustrations, biography. BIC Classification: TGM; TNKX; UNF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 3. Weight in Grams: 113.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
58
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology
Number of Pages
48
Place of Publication
Cham, Switzerland
ISBN
9783319222936
SKU
V9783319222936
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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