Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (SpringerBriefs in Applied Sciences and Technology)

Nuno M.M. Ramos

  • 出版商: Springer
  • 出版日期: 2015-09-03
  • 售價: $2,860
  • 貴賓價: 9.5$2,717
  • 語言: 英文
  • 頁數: 60
  • 裝訂: Paperback
  • ISBN: 3319222937
  • ISBN-13: 9783319222936
  • 相關分類: Data-mining 資料探勘
  • 下單後立即進貨 (約1週~2週)


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.