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Springer guide to big data applications 3319538160 kho tài liệu bách khoa

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Springer guide to big data applications 3319538160 kho tài liệu bách khoa

Studies in Big Data 26s. Srinivasan EditorGuide to Big Data ApplicationsStudies in Big DataVolume 26Series EditorJanusz Kaeprzyk. Polish Academy of Sc

Springer guide to big data applications 3319538160 kho tài liệu bách khoaciences. Warsaw. Poland c-mai 1: kaeprzyk(«? ibspan.waw.plAbout this ScriesThe series “Studies in Big Data” (SBD) publishes new developments and advan

ces in the various areas of Big Data - quickly and with a high quality. Hie intent is to cover the theory, research, development, and applications of Springer guide to big data applications 3319538160 kho tài liệu bách khoa

Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analy

Springer guide to big data applications 3319538160 kho tài liệu bách khoa

sis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical inst

Studies in Big Data 26s. Srinivasan EditorGuide to Big Data ApplicationsStudies in Big DataVolume 26Series EditorJanusz Kaeprzyk. Polish Academy of Sc

Springer guide to big data applications 3319538160 kho tài liệu bách khoaeries contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence including neural networks, ev

olutionary compulation, soli computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as Springer guide to big data applications 3319538160 kho tài liệu bách khoa

well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wid

Springer guide to big data applications 3319538160 kho tài liệu bách khoa

e distribution, which enable both w ide and rapid dissemination of research output.More information about this scries at http://www.springer.eom/serie

Studies in Big Data 26s. Srinivasan EditorGuide to Big Data ApplicationsStudies in Big DataVolume 26Series EditorJanusz Kaeprzyk. Polish Academy of Sc

Springer guide to big data applications 3319538160 kho tài liệu bách khoaouthern UniversityHouston. TX. USAISSN 2197-6503ISSN 2197-6511 (electronic)Studies in Big DataISBN 978-3-319-53816-7 ISBN 978-3-319-53817-4 (eBook)DOI

1O.1OO7/978-3-3I9-538I7-4Library of Congress Control Number: 2017936371Ô Springer International Publishing AG 201XThis work is subject to copyright. Springer guide to big data applications 3319538160 kho tài liệu bách khoa

All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the righi-s of translation, reprinting,

Springer guide to big data applications 3319538160 kho tài liệu bách khoa

reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage an

Studies in Big Data 26s. Srinivasan EditorGuide to Big Data ApplicationsStudies in Big DataVolume 26Series EditorJanusz Kaeprzyk. Polish Academy of Sc

Springer guide to big data applications 3319538160 kho tài liệu bách khoacriptive names, registered names, trademarks, sen ice marks, etc. in this publication does not imply, even in the absence of a specific statement, tha

t such names are exempt from the relevant protective laws and regulations and therefore free for general use.The publisher, the authors and the editor Springer guide to big data applications 3319538160 kho tài liệu bách khoa

s are safe to assume that the advice and information in this book arc believed to be true and accurate at the date of publication. Neither the publish

Springer guide to big data applications 3319538160 kho tài liệu bách khoa

er 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 th

Studies in Big Data 26s. Srinivasan EditorGuide to Big Data ApplicationsStudies in Big DataVolume 26Series EditorJanusz Kaeprzyk. Polish Academy of Sc

Springer guide to big data applications 3319538160 kho tài liệu bách khoaacid-free paperThis Springer imprint is published by Springer NatureThe registered company is Springer Internationa) Publishing AGThe registered compa

ny address is: Gcwcrbcstrassc 11.6330Cham. SwitzerlandTo my wife Lakshmi and grandson Sahaas Springer guide to big data applications 3319538160 kho tài liệu bách khoa

Studies in Big Data 26s. Srinivasan EditorGuide to Big Data ApplicationsStudies in Big DataVolume 26Series EditorJanusz Kaeprzyk. Polish Academy of Sc

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