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Big Data and Networks Technologies

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Yousef Farhaoui

    1. Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia, Morocco

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  • Presents the latest advances in Big Data and Networks Technologies
  • Includes the Proceedings of the 3rd International Conference on Big Data and Networks Technologies (BDNT 2019), held in Leuven, Belgium on April 29–May 2, 2019
  • Written by respected experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 81)

Included in the following conference series:

Conference proceedings info: BDNT 2019.

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Table of contents (27 papers)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. Experimental Validation of New SIP Authentication Protocol

    • Mourade Azrour, Yousef Farhaoui, Azidine Guezzaz
    Pages 1-11

  3. Promoting Health and Well-Being Using Wearable and Smartphone Technologies for Ambient Assisted Living Through Internet of Things

    • Gonçalo Marques, Rui Pitarma
    Pages 12-22

  4. Implicit JSON Schema Versioning Driven by Big Data Evolution in the Ï„JSchema Framework

    • Zouhaier Brahmia, Safa Brahmia, Fabio Grandi, Rafik Bouaziz
    Pages 23-35

  5. A Novel Tool DSMOTE to Handel Imbalance Customer Churn Problem in Telecommunication Industry

    • Samaher Al_Janabi, Fatma Razaq
    Pages 36-50

  6. Quality and Reliability Data Fusion for Improving Decision Making by Means of Influence Diagram: Case Study

    • Abdelaziz Lakehal, Tarek Khoualdia, Zoubir Chelli
    Pages 51-58

  7. Data Mining and Machine Learning Approaches and Technologies for Diagnosing Diabetes in Women

    • Safae Sossi Alaoui, Brahim Aksasse, Yousef Farhaoui
    Pages 59-72

  8. Multi Dimensional Hidden Markov Model for Credit Scoring Systems in Peer-To-Peer (P2P) Lending

    • El Annas Monir, Mohamed Ouzineb, Badreddine Benyacoub
    Pages 73-83

  9. Pragmatic Method Based on Intelligent Big Data Analytics to Prediction Air Pollution

    • Samaher Al_Janabi, Ali Yaqoob, Mustafa Mohammad
    Pages 84-109

  10. Practical Investigation on Bearing Fault Diagnosis Using Massive Vibration Data and Artificial Neural Network

    • Tarek Khoualdia, Abdelaziz Lakehal, Zoubir Chelli
    Pages 110-116

  11. Multi Objectives Optimization to Gas Flaring Reduction from Oil Production

    • Ayad F. Alkaim, Samaher Al_Janabi
    Pages 117-139

  12. Nesterov Step Reduced Gradient Algorithm for Convex Programming Problems

    • Abdelkrim El Mouatasim, Yousef Farhaoui
    Pages 140-148

  13. Recommendation System of Big Data Based on PageRank Clustering Algorithm

    • Samaher Al_Janabi, Noora Kadiam
    Pages 149-171

  14. Intelligent System for Monitoring and Detecting Water Quality

    • Jamal Mabrouki, Mourade Azrour, Yousef Farhaoui, Souad El Hajjaji
    Pages 172-182

  15. Using Ensemble Methods to Solve the Problem of Pulsar Search

    • Mourad Azhari, Altaf Alaoui, Abdallah Abarda, Badia Ettaki, Jamal Zerouaoui
    Pages 183-189

  16. Pragmatic Text Mining Method to Find the Topics of Citation Network

    • Samaher Al_Janabi, Mahdi Abed Salman, Maha Mohammed
    Pages 190-205

  17. Grey-Markov Model for the Prediction of the Electricity Production and Consumption

    • S. Elgharbi, M. Esghir, O. Ibrihich, A. Abarda, S. El Hajji, S. Elbernoussi
    Pages 206-219

  18. Smart Monitoring System for the Long-Term Control of Aerobic Leachate Treatment: Dumping Case Mohammedia (Morocco)

    • J. Mabrouki, I. Bencheikh, K. Azoulay, M. Es-soufy, S. El Hajjaji
    Pages 220-230

  19. The Reality and Future of the Secure Mobile Cloud Computing (SMCC): Survey

    • Samaher Al_Janabi, Nawras Yahya Hussein
    Pages 231-261

  20. A Multilayer Perceptron Classifier for Monitoring Network Traffic

    • Azidine Guezzaz, Ahmed Asimi, Azrour Mourade, Zakariae Tbatou, Younes Asimi
    Pages 262-270
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  1. Big Data and Networks Technologies

Keywords

About this book

This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular.

Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers,lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.


Editors and Affiliations

  • Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia, Morocco

    Yousef Farhaoui

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