@article{751819,
      recid = {751819},
      author = {Ramos, Nuno M. M., and Delgado, João M. P. Q., and  Almeida, Ricardo and Simões, Maria L., and Manuel, Sofia,},
      title = {Application of data mining techniques in the analysis of  indoor hygrothermal conditions [electronic resource] /},
      pages = {1 online resource (x, 48 pages).},
      abstract = {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.},
      url = {http://library.usi.edu/record/751819},
      doi = {https://doi.org/10.1007/978-3-319-22294-3},
}