Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Springer International Publishing (Verlag)
978-3-319-22293-6 (ISBN)
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.
Introduction.- Indoor hygrothermal conditions.- Data mining techniques.- Case Study.- Application of data mining techniques.- Conclusions.
| Erscheint lt. Verlag | 3.9.2015 |
|---|---|
| Reihe/Serie | SpringerBriefs in Applied Sciences and Technology |
| Zusatzinfo | X, 48 p. 21 illus., 2 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Bauwesen |
| Schlagworte | Air permeability • Building repair and maintenance • data mining and knowledge discovery • Data mining Statistical tools • Engineering • Hygrothermal comfort • Indoor environment • multivariate analysis • Outdoor conditions • Structural Materials |
| ISBN-10 | 3-319-22293-7 / 3319222937 |
| ISBN-13 | 978-3-319-22293-6 / 9783319222936 |
| Zustand | Neuware |
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