Understanding Information From the Big Bang to Big Data
The motivation of this edited book is to generate an understanding about information, related concepts and the roles they play in the modern, technology permeated world. In order to achieve our goal, we observe how information is understood in domains, su
- PDF / 3,322,496 Bytes
- 242 Pages / 439.42 x 683.15 pts Page_size
- 41 Downloads / 261 Views
Alfons Josef Schuster Editor
Understanding Information From the Big Bang to Big Data
Advanced Information and Knowledge Processing Series editors Lakhmi C. Jain Bournemouth University, Poole, UK and University of South Australia, Adelaide, Australia Xindong Wu University of Vermont
Information systems and intelligent knowledge processing are playing an increasing role in business, science and technology. Recently, advanced information systems have evolved to facilitate the co-evolution of human and information networks within communities. These advanced information systems use various paradigms including artificial intelligence, knowledge management, and neural science as well as conventional information processing paradigms. The aim of this series is to publish books on new designs and applications of advanced information and knowledge processing paradigms in areas including but not limited to aviation, business, security, education, engineering, health, management, and science. Books in the series should have a strong focus on information processing—preferably combined with, or extended by, new results from adjacent sciences. Proposals for research monographs, reference books, coherently integrated multi-author edited books, and handbooks will be considered for the series and each proposal will be reviewed by the Series Editors, with additional reviews from the editorial board and independent reviewers where appropriate. Titles published within the Advanced Information and Knowledge Processing series are included in Thomson Reuters’ Book Citation Index.
More information about this series at http://www.springer.com/series/4738
Alfons Josef Schuster Editor
Understanding Information From the Big Bang to Big Data
123
Editor Dr Alfons Josef Schuster (Assistant Professor in Information Studies) School of International Liberal Studies Waseda University 4F, Building 11 1-6-1 Nishi-Waseda, 169-8050 Shinjuku-ku, Tokyo, Japan
ISSN 1610-3947 ISSN 2197-8441 (electronic) Advanced Information and Knowledge Processing ISBN 978-3-319-59089-9 ISBN 978-3-319-59090-5 (eBook) DOI 10.1007/978-3-319-59090-5 Library of Congress Control Number: 2017946619 © Springer International Publishing AG 2017 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
Data Loading...
