Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions. (2016)

• Record Type: Book
• Further Information: Note: By Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel.
• Authors: Ramos, Nuno M. M; Delgado, João M. P. Q; Almeida, Ricardo M. S. F; Simões, Maria L; Manuel, Sofia
• Other Names: École nationale supérieure des beaux-arts (France)
• Contents: Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
• Publisher Details: Cham : Springer International Publishing Imprint Springer
• Publication Date: 2016
• Extent: 1 online resource (56 pages)
• Subjects: 620; Engineering; Buildings -- Repair and reconstruction; Building materials; Indoor air quality; Environmental monitoring; Data mining; Data mining; Engineering; Materials; Engineering; Building Repair and Maintenance; Structural Materials; Data Mining and Knowledge Discovery; Technology & Engineering -- Material Science; Computers -- Database Management -- Data Mining; Materials science; Data mining; Building construction; Materials; Technology & Engineering -- Civil -- General; Conservation of buildings & building materials; Electronic books
• Languages: English
• ISBNs: 3319222945; 9783319222943; 9783319222936; 3319222937
• Notes: Note: Includes bibliographical references at the end of each chapters.; Note: Print version record.; Note: Online resource; title from PDF title page (ebrary, viewed December 18, 2015).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.