LEADER 04054nam 22007335 450 001 9910254182603321 005 20200705033043.0 010 $a3-319-22294-5 024 7 $a10.1007/978-3-319-22294-3 035 $a(CKB)3710000000467435 035 $a(EBL)4178473 035 $a(SSID)ssj0001546640 035 $a(PQKBManifestationID)16140952 035 $a(PQKBTitleCode)TC0001546640 035 $a(PQKBWorkID)14796369 035 $a(PQKB)10572301 035 $a(DE-He213)978-3-319-22294-3 035 $a(MiAaPQ)EBC4178473 035 $a(PPN)188458352 035 $a(EXLCZ)993710000000467435 100 $a20150824d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplication of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions /$fby Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (56 p.) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 300 $aDescription based upon print version of record. 311 $a3-319-22293-7 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions. 330 $aThe main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies. The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station. The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 606 $aBuildings$xRepair and reconstruction 606 $aBuildings?Repair and reconstruction 606 $aBuilding materials 606 $aData mining 606 $aBuilding Repair and Maintenance$3https://scigraph.springernature.com/ontologies/product-market-codes/T23055 606 $aStructural Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z11000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aBuildings$xRepair and reconstruction. 615 0$aBuildings?Repair and reconstruction. 615 0$aBuilding materials. 615 0$aData mining. 615 14$aBuilding Repair and Maintenance. 615 24$aStructural Materials. 615 24$aData Mining and Knowledge Discovery. 676 $a620.8 700 $aRamos$b Nuno M.M$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058118 702 $aDelgado$b João M.P.Q$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAlmeida$b Ricardo M.S.F$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSimões$b Maria L$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aManuel$b Sofia$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254182603321 996 $aApplication of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions$92497254 997 $aUNINA