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Big Data Intelligence for Smart Applications

  • Book
  • © 2022

Overview

Editors:
  1. Youssef Baddi

    1. Chouaib Doukkali University, El Jadida, Morocco

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  2. Youssef Gahi

    1. National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

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  3. Yassine Maleh

    1. Sultan Moulay Slimane University, Settat, Morocco

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  4. Mamoun Alazab

    1. Charles Darwin University, Canberra ACT, Australia

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  5. Loai Tawalbeh

    1. Texas A&M University, San Antonio, USA

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  • Presents the latest discoveries in the field of machine intelligence and big data
  • Proposes many case studies and applications of computational and Big data
  • Combines theory and practice so that readers of the few books (beginners or experts)

Part of the book series: Studies in Computational Intelligence (SCI, volume 994)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Data Quality in the Era of Big Data: A Global Review

    • Widad Elouataoui, Imane El Alaoui, Youssef Gahi
    Pages 1-25

  3. Adversarial Machine Learning, Research Trends and Applications

    • Izzat Alsmadi
    Pages 27-55

  4. Multi-agent Systems for Distributed Data Mining Techniques: An Overview

    • Mais Haj Qasem, Amjad Hudaib, Nadim Obeid, Mohammed Amin Almaiah, Omar Almomani, Ahmad Al-Khasawneh
    Pages 57-92

  5. Time Series Data Analysis Using Deep Learning Methods for Smart Cities Monitoring

    • Giuseppe Ciaburro
    Pages 93-116

  6. A Low-Cost IMU-Based Wearable System for Precise Identification of Walk Activity Using Deep Convolutional Neural Network

    • Amartya Chakraborty, Nandini Mukherjee
    Pages 117-140

  7. Facial Recognition Application with Hyperparameter Optimisation

    • Hannah M. Claus, Cornelia Grab, Piotr Woroszyllo, Patryk Rybarczyk
    Pages 141-172

  8. Internet-Assisted Data Intelligence for Pandemic Prediction: An Intelligent Framework

    • H. M. K. K. M. B. Herath
    Pages 173-190

  9. NHS Big Data Intelligence on Blockchain Applications

    • Xiaohua Feng, Marc Conrad, Khalid Hussein
    Pages 191-208

  10. Depression Detection from Social Media Using Twitter’s Tweet

    • Rifat Jahan Lia, Abu Bakkar Siddikk, Fahim Muntasir, Sheikh Shah Mohammad Motiur Rahman, Nusrat Jahan
    Pages 209-226

  11. A Conceptual Analysis of IoT in Healthcare

    • Muhammad Azmi Umer, Muhammad Taha Jilani, Asif Rafiq, Sulaman Ahmad Naz, Khurum Nazir Junejo
    Pages 227-240

  12. Securing Big Data-Based Smart Applications Using Blockchain Technology

    • Rihab Benaich, Imane El Alaoui, Youssef Gahi
    Pages 241-264

  13. Overview of Blockchain-Based Privacy Preserving Machine Learning for IoMT

    • Rakib Ul Haque, A. S. M. Touhidul Hasan
    Pages 265-278

  14. Big Data Based Smart Blockchain for Information Retrieval in Privacy-Preserving Healthcare System

    • Aitizaz Ali, Muhammad Fermi Pasha, Ong Huey Fang, Rahim Khan, Mohammed Amin Almaiah, Ahmad K. Al Hwaitat
    Pages 279-296

  15. Classification of Malicious and Benign Binaries Using Visualization Technique and Machine Learning Algorithms

    • Ikram Ben Abdel Ouahab, Lotfi Elaachak, Mohammed Bouhorma
    Pages 297-315

  16. FakeTouch: Machine Learning Based Framework for Detecting Fake News

    • Abu Bakkar Siddikk, Rifat Jahan Lia, Md. Fahim Muntasir, Sheikh Shah Mohammad Motiur Rahman, Md. Shohel Arman, Mahmuda Rawnak Jahan
    Pages 317-334
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Keywords

About this book

Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines.  As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity.


This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.


Editors and Affiliations

  • Chouaib Doukkali University, El Jadida, Morocco

    Youssef Baddi

  • National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

    Youssef Gahi

  • Sultan Moulay Slimane University, Settat, Morocco

    Yassine Maleh

  • Charles Darwin University, Canberra ACT, Australia

    Mamoun Alazab

  • Texas A&M University, San Antonio, USA

    Loai Tawalbeh

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