| Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions 2016 Edition Contributor(s): Ramos, Nuno M. M. (Author), Delgado, Joćo M. P. Q. (Author), Almeida, Ricardo M. S. F. (Author) |
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ISBN: 3319222937 ISBN-13: 9783319222936 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: September 2015 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Civil - General - Technology & Engineering | Materials Science - General - Computers | Databases - Data Mining |
| Dewey: 006.312 |
| Series: Springerbriefs in Applied Sciences and Technology |
| Physical Information: 0.12" H x 6.14" W x 9.21" (0.21 lbs) 48 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |