Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
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 ca
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Nuno M.M. Ramos João M.P.Q. Delgado Ricardo M.S.F. Almeida Maria L. Simões Sofia Manuel
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions 123
SpringerBriefs in Applied Sciences and Technology
More information about this series at http://www.springer.com/series/8884
Nuno M.M. Ramos João M.P.Q. Delgado Ricardo M.S.F. Almeida Maria L. Simões Sofia Manuel •
•
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
123
Nuno M.M. Ramos Department of Civil Engineering University of Porto Porto Portugal
Maria L. Simões Department of Civil Engineering University of Porto Porto Portugal
João M.P.Q. Delgado Department of Civil Engineering University of Porto Porto Portugal
Sofia Manuel Department of Civil Engineering University of Porto Porto Portugal
Ricardo M.S.F. Almeida Department of Civil Engineering Polytechnic Institute of Viseu Viseu Portugal
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISBN 978-3-319-22293-6 ISBN 978-3-319-22294-3 (eBook) DOI 10.1007/978-3-319-22294-3 Library of Congress Control Number: 2015946994 Springer Cham Heidelberg New York Dordrecht London © The Author(s) 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
Over the last years, the indoor environmental quality of buildings has been extensively studied. The results obtained, by different researchers, have shown that indoor environmental conditions of buildings play an important role in terms of health and wellbeing of their occupants. The characterization of indoor hygrothermal conditions is frequently pursued as part of the overall environmental evaluation. Different measurement techniques can be used and large amounts of data will become available after extensive in-situ campaigns. The application of adequate statistical tools
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