04054nam 22007335 450 991025418260332120200705033043.03-319-22294-510.1007/978-3-319-22294-3(CKB)3710000000467435(EBL)4178473(SSID)ssj0001546640(PQKBManifestationID)16140952(PQKBTitleCode)TC0001546640(PQKBWorkID)14796369(PQKB)10572301(DE-He213)978-3-319-22294-3(MiAaPQ)EBC4178473(PPN)188458352(EXLCZ)99371000000046743520150824d2016 u| 0engur|n|---|||||txtccrApplication of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions /by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (56 p.)SpringerBriefs in Applied Sciences and Technology,2191-530XDescription based upon print version of record.3-319-22293-7 Includes bibliographical references at the end of each chapters.Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.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.SpringerBriefs in Applied Sciences and Technology,2191-530XBuildingsRepair and reconstructionBuildings—Repair and reconstructionBuilding materialsData miningBuilding Repair and Maintenancehttps://scigraph.springernature.com/ontologies/product-market-codes/T23055Structural Materialshttps://scigraph.springernature.com/ontologies/product-market-codes/Z11000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030BuildingsRepair and reconstruction.Buildings—Repair and reconstruction.Building materials.Data mining.Building Repair and Maintenance.Structural Materials.Data Mining and Knowledge Discovery.620.8Ramos Nuno M.Mauthttp://id.loc.gov/vocabulary/relators/aut1058118Delgado João M.P.Qauthttp://id.loc.gov/vocabulary/relators/autAlmeida Ricardo M.S.Fauthttp://id.loc.gov/vocabulary/relators/autSimões Maria Lauthttp://id.loc.gov/vocabulary/relators/autManuel Sofiaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254182603321Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions2497254UNINA