Machine Learning Paradigms Applications of Learning and Analytics in
This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and rel
- PDF / 15,941,662 Bytes
- 552 Pages / 453.544 x 683.151 pts Page_size
- 70 Downloads / 296 Views
George A. Tsihrintzis Maria Virvou Evangelos Sakkopoulos Lakhmi C. Jain Editors
Machine Learning Paradigms Applications of Learning and Analytics in Intelligent Systems
Learning and Analytics in Intelligent Systems Volume 1
Series Editors George A. Tsihrintzis, University of Piraeus, Piraeus, Greece Maria Virvou, University of Piraeus, Piraeus, Greece Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, NSW, Australia; University of Canberra, Canberra, ACT, Australia; KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The main aim of the series is to make available a publication of books in hard copy form and soft copy form on all aspects of learning, analytics and advanced intelligent systems and related technologies. The mentioned disciplines are strongly related and complement one another significantly. Thus, the series encourages cross-fertilization highlighting research and knowledge of common interest. The series allows a unified/integrated approach to themes and topics in these scientific disciplines which will result in significant cross-fertilization and research dissemination. To maximize dissemination of research results and knowledge in these disciplines, the series publishes edited books, monographs, handbooks, textbooks and conference proceedings.
More information about this series at http://www.springer.com/series/16172
George A. Tsihrintzis Maria Virvou Evangelos Sakkopoulos Lakhmi C. Jain •
•
•
Editors
Machine Learning Paradigms Applications of Learning and Analytics in Intelligent Systems
123
Editors George A. Tsihrintzis University of Piraeus Piraeus, Greece Evangelos Sakkopoulos University of Piraeus Piraeus, Greece
Maria Virvou Department of Informatics University of Piraeus Piraeus, Greece Lakhmi C. Jain Faculty of Engineering and Information Technology Centre for Artificial Intelligence University of Technology Sydney NSW, Australia University of Canberra Canberra, ACT, Australia KES International Shoreham-by-Sea, UK Liverpool Hope University Liverpool, UK
ISSN 2662-3447 ISSN 2662-3455 (electronic) Learning and Analytics in Intelligent Systems ISBN 978-3-030-15627-5 ISBN 978-3-030-15628-2 (eBook) https://doi.org/10.1007/978-3-030-15628-2 Library of Congress Control Number: 2019935546 © Springer Nature Switzerland AG 2019 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
Data Loading...
