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Gupta Govind - Convergence of Big Data Technologies and Computational Intelligent Techniques

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Gupta Govind Convergence of Big Data Technologies and Computational Intelligent Techniques
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dvanced Computational Intelligence (CI) techniques have been designed and developed in recent years to cope with various Big Data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study. Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in Big Data and Computational Intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as Deep Learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.With the rapid evolution and development of internet-based services and applications, Big Data problem is perceived recently in almost all domains like social network analysis, Healthcare informatics, Cyber security Analytics, Sentiment Analysis etc. Big Data refers to a collection of huge datasets that are very complex in structure and size and cannot be handle with help of traditional data management tools. Nowadays, application of Computational Intelligence (CI) techniques in Big Data analytics are very emerging research area among the software industry, data engineering researchers and academics community. Recent advancement in Computational Intelligent (CI) techniques by converging the mathematical modelling techniques with data engineering and optimization techniques, motivates the big data engineers and researchers to apply in various engineering domain related to Big Data. Advanced computational intelligence techniques are being designed and developed in recent years to cope with the various big data challenges to provide fast and efficient analytics which helps in making of the critical decision. Big data processing and Analytics have found various applications in different domain such as healthcare, intelligent transportation system, smart cities, smart grid, smart environment.

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Convergence of Big Data Technologies and Computational Intelligent Techniques - photo 1
Convergence of Big Data Technologies and Computational Intelligent Techniques
  • Govind P. Gupta
    National Institute of Technology, Raipur, India

A volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series Book Series

Published in the United States of America by IGI Global an imprint of IGI - photo 2Published in the United States of America by IGI Global an imprint of IGI - photo 3

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

Copyright 2023 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.

Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.

Library of Congress Cataloging-in-Publication Data

Names: Gupta, Govind P., 1979- editor.
Title: Convergence of big data technologies and computational intelligent
techniques / Govind Gupta, editor.
Description: Hershey PA : Engineering Science Reference, [2023] | Includes
bibliographical references and index. | Summary: "With rapid evolution
and development of the internet-based services and applications, Big
Data storage, processing and its analytics are getting huge attention so
this book identifies applications of advanced computational intelligence
techniques in various big data engineering and analytics problem"-
Provided by publisher.
Identifiers: LCCN 2022016806 (print) | LCCN 2022016807 (ebook) | ISBN
9781668452646 (hardcover) | ISBN 9781668452653 (paperback) | ISBN
9781668452660 (ebook)
Subjects: LCSH: Big data. | Computational intelligence. | Quantitative
research.
Classification: LCC QA76.9.B45 C669 2023 (print) | LCC QA76.9.B45 (ebook)
| DDC 005.7--dc23/eng/20220726
LC record available at https://lccn.loc.gov/2022016806
LC ebook record available at https://lccn.loc.gov/2022016807

This book is published under the IGI Global book series Advances in Computational Intelligence and Robotics (ACIR) (ISSN: 2327-0411 eISSN: 2327-042X)

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 Computational Intelligence and Robotics ACIR Book Series Ivan - photo 4
Advances in Computational Intelligence and Robotics (ACIR) Book Series

Ivan Giannoccaro (University of Salento, Italy)

ISSN: 2327-0411

Mission

While intelligence is traditionally a term applied to humans and human cognition, technology has progressed in such a way to allow for the development of intelligent systems able to simulate many human traits. With this new era of simulated and artificial intelligence, much research is needed in order to continue to advance the field and also to evaluate the ethical and societal concerns of the existence of artificial life and machine learning.

The Advances in Computational Intelligence and Robotics (ACIR) Book Series encourages scholarly discourse on all topics pertaining to evolutionary computing, artificial life, computational intelligence, machine learning, and robotics. ACIR presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field.

Coverage
  • Intelligent Control
  • Robotics
  • Cognitive Informatics
  • Computational Logic
  • Automated Reasoning
  • Neural Networks
  • Brain Simulation
  • Pattern Recognition
  • Artificial Intelligence
  • Cyborgs

IGI Global is currently accepting manuscripts for publications within this series. To submit a proposal for a volume in this series please contact our Acquisition Editors at .

The Advances in Computational Intelligence and Robotics (ACIR) Book Series(ISSN 2327-0411) 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-computational-intelligence-robotics/73674. Postmaster: send all address changes to above address. Copyright 2023 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

Titles in this Series

Controlling Epidemics With Mathematical and Machine Learning Models
Abraham Varghese (Higher College of Technology, Oman) Eduardo M. Lacap, Jr. (Higher College of Technology, Oman) Ibrahim Sajath (Higher College of Technology, Oman) Kamal Kumar (Higher College of Technology, Oman) and Shajidmon Kolamban (Higher College of Technology, Oman)
Engineering Science Reference copyright 2023 300pp H/C (ISBN: 9781799883432) US $270.00 (our price)

Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era
A. Srinivasan (SASTRA University (Deemed), India)
Engineering Science Reference copyright 2023 400pp H/C (ISBN: 9781799888925) US $325.00 (our price)

Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
Chiranji Lal Chowdhary (Vellore Institute of Technology, India)
Engineering Science Reference copyright 2023 296pp H/C (ISBN: 9781668456736) US $270.00 (our price)

Principles and Applications of Socio-Cognitive and Affective Computing
S. Geetha (VIT University, Chennai, India) Karthika Renuka (PSG College of Technology, India) Asnath Victy Phamila (VIT University, Chennai, India) and Karthikeyan N. (Syed Ammal Engineering College, India)
Engineering Science Reference copyright 2023 330pp H/C (ISBN: 9781668438435) US $270.00 (our price)

Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things
Divya Upadhyay Mishra (ABES Engineering College, Ghaziabad, India) and Shanu Sharma (ABES Engineering College, Ghaziabad, India)
Engineering Science Reference copyright 2023 279pp H/C (ISBN: 9781668449912) US $270.00 (our price)

Design and Control Advances in Robotics
Mohamed Arezk Mellal (M'Hamed Bougara University, Algeria)

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