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© 2021

Enabling AI Applications in Data Science

  • Aboul-Ella Hassanien
  • Mohamed Hamed N. Taha
  • Nour Eldeen M. Khalifa
Book

Part of the Studies in Computational Intelligence book series (SCI, volume 911)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Artificial Intelligence and Optimization

    1. Front Matter
      Pages 1-1
    2. Andrei Pătraşcu, Ciprian Păduraru, Paul Irofti
      Pages 3-25
    3. Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh
      Pages 27-47
    4. Eman Abd El Reheem, Magda M. Madbouly, Shawkat K. Guirguis
      Pages 49-62
    5. Badal Soni, K. Suganya Devi, Angshuman Bora
      Pages 77-102
    6. Djamel Saba, Youcef Sahli, Rachid Maouedj, Abdelkader Hadidi, Miloud Ben Medjahed
      Pages 103-146
  3. Big Data and Artificial Intelligence Applications

    1. Front Matter
      Pages 147-147
    2. Badal Soni, Prachi Mathur, Angshuman Bora
      Pages 149-183
    3. Ivan Lorencin, Nikola Anđelić, Sandi Baressi Šegota, Jelena Musulin, Daniel Štifanić, Vedran Mrzljak et al.
      Pages 225-245
    4. Emmanuel B. Boateng, Emmanuella A. Twumasi, Amos Darko, Mershack O. Tetteh, Albert P. C. Chan
      Pages 247-266
    5. A. V. Andreichuk, N. V. Boroday, K. M. Golubeva, D. A. Klyushin
      Pages 267-285
    6. Djamel Saba, Youcef Sahli, Abdelkader Hadidi
      Pages 287-314
    7. Ahlam Al-Khayyal, Muhammad Alshurideh, Barween Al Kurdi, Said A. Salloum
      Pages 367-378
  4. IOT within Artificial Intelligence and Data Science

    1. Front Matter
      Pages 379-379

About this book

Introduction

This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.

Keywords

Computational Intelligence Applied AI Data Science Big Data Data Analytics

Editors and affiliations

  • Aboul-Ella Hassanien
    • 1
  • Mohamed Hamed N. Taha
    • 2
  • Nour Eldeen M. Khalifa
    • 3
  1. 1.Faculty of Computers and Artificial IntelligenceCairo UniversityGizaEgypt
  2. 2.Faculty of Computers and Artificial IntelligenceCairo UniversityGizaEgypt
  3. 3.Faculty of Computers and Artificial IntelligenceCairo UniversityGizaEgypt

Bibliographic information

  • Book Title Enabling AI Applications in Data Science
  • Editors Aboul-Ella Hassanien
    Mohamed Hamed N. Taha
    Nour Eldeen M. Khalifa
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI https://doi.org/10.1007/978-3-030-52067-0
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)
  • Hardcover ISBN 978-3-030-52066-3
  • Softcover ISBN 978-3-030-52069-4
  • eBook ISBN 978-3-030-52067-0
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages IX, 650
  • Number of Illustrations 66 b/w illustrations, 154 illustrations in colour
  • Topics Data Engineering
    Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site