Explainable Enterprise Rating Using Attention Based Convolutional Neural Network
Convolutional Neural Networks (CNNs) are being applied to identification problems in a variety of fields, and showing higher discrimination accuracy than conventional methods. However, the applications based on CNNs are rare in enterprise rating. The reas
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Guojun Wang · Xuemin Lin · James Hendler · Wei Song · Zhuoming Xu · Genggeng Liu (Eds.)
Web Information Systems and Applications 17th International Conference, WISA 2020 Guangzhou, China, September 23–25, 2020 Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7409
Guojun Wang Xuemin Lin James Hendler Wei Song Zhuoming Xu Genggeng Liu (Eds.) •
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Web Information Systems and Applications 17th International Conference, WISA 2020 Guangzhou, China, September 23–25, 2020 Proceedings
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Editors Guojun Wang Guangzhou University Guangzhou, China
Xuemin Lin The University of New South Wales Sydney, NSW, Australia
James Hendler Rensselaer Polytechnic Institute Troy, NY, USA
Wei Song Wuhan University Wuhan, China
Zhuoming Xu Hohai University Nanjing, China
Genggeng Liu Fuzhou University Fuzhou, China
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-60028-0 ISBN 978-3-030-60029-7 (eBook) https://doi.org/10.1007/978-3-030-60029-7 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer Nature Switzerland AG 2020 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, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
It is our great pleasure to present the proceedings
