Bouarara Hadj - Advanced Deep Learning Applications in Big Data Analytics

Advanced Deep Learning Applications in Big Data Analytics

• Hadj Ahmed Bouarara
  Tahar Moulay University of Saida, Algeria

A volume in the Advances in Data Mining and Database Management (ADMDM) Book Series Book Series

Published in the United States of America by IGI Global (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com/reference

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Library of Congress Cataloging-in-Publication Data

Names: Bouarara, Hadj Ahmed, 1990- editor.
Title: Advanced deep learning applications in big data analytics / Hadj
Ahmed Bouarara, editor.
Description: Hershey, PA : Engineering Science Reference, an imprint of IGI
Global, [2020] | Includes bibliographical references and index. |
Summary: "This book explores the developing and application of deep
learning in big data"-- Provided by publisher.
Identifiers: LCCN 2019043617 (print) | LCCN 2019043618 (ebook) | ISBN
9781799827917 (hardcover) | ISBN 9781799827924 (paperback) | ISBN
9781799827931 (ebook)
Subjects: LCSH: Big data. | Artificial intelligence. | Machine learning.
Classification: LCC QA76.9.B45 A336 2020 (print) | LCC QA76.9.B45 (ebook)
| DDC 005.7--dc23
LC record available at https://lccn.loc.gov/2019043617
LC ebook record available at https://lccn.loc.gov/2019043618

This book is published under the IGI Global book series Advances in Data Mining and Database Management (ADMDM) (ISSN: 2327-1981 eISSN: 2327-199X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Data Mining and Database Management (ADMDM) Book Series David Taniar (Monash University, Australia) ISSN: 2327-1981

With the large amounts of information available to organizations in todays digital world, there is a need for continual research surrounding emerging methods and tools for collecting, analyzing, and storing data.

The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.

The Advances in Data Mining and Database Management (ADMDM) Book Series(ISSN 2327-1981) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-data-mining-database-management/37146. Postmaster: send all address changes to above address. Copyright 2021 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

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