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Více informací o knize Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

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• Anotace
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Anotace knihy

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.§§

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Civil engineering, surveying & building Building construction & materials

• Plný název: Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
• Autor: Nuno M. M. Ramos, Joao M. P. Q. Delgado, Ricardo M. S. F. Almeida, Ricardo Almeida, Maria L. Simoes, Sofia Manuel
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 48
• EAN: 9783319222936
• ISBN: 3319222937
• ID: 09384021
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 1066 g
• Rozměry: 235 × 155 × 6 mm
• Datum vydání: 25. August 2015

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