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Link to original content: https://doi.org/10.1007/978-3-030-72802-1
Big Data Technologies and Applications: 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings | SpringerLink
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Big Data Technologies and Applications

10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Zeng Deze

    1. School of Computer Science, China University of Geosciences, Wuhan, China

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  2. Huan Huang

    1. South Central University for Nationalities, Wuhan, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Rui Hou

    1. South Central University for Nationalities, Wuhan, China

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  4. Seungmin Rho

    1. Hongik University, Seoul, Korea (Republic of)

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  5. Naveen Chilamkurti

    1. Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia

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    You can also search for this editor in PubMed   Google Scholar

Included in the following conference series:

Conference proceedings info: BDTA 2020, WiCON 2020.

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About this book

This book constitutes the refereed post-conference proceedings of the 10th International Conference on Big Data Technologies and Applications, BDTA 2020, and the 13th International Conference on Wireless Internet, WiCON 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually.

The 9 full papers of BDTA 2020 were selected from 22 submissions and present all big data technologies, such as storage, search and management.
WiCON 2020 received 18 paper submissions and after the reviewing process 5 papers were accepted. The main topics include wireless and communicating networks, wireless communication security, green wireless network architectures and IoT based applications.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xii
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  2. BDTA 2020

    1. Front Matter

      Pages 1-1
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    2. Constructing Knowledge Graph for Prognostics and Health Management of On-board Train Control System Based on Big Data and XGBoost

      • Jiang Liu, Bai-gen Cai, Zhong-bin Guo, Xiao-lin Zhao
      Pages 3-16

    3. Early Detecting the At-risk Students in Online Courses Based on Their Behavior Sequences

      • Shuai Yuan, Huan Huang, Tingting He, Rui Hou
      Pages 17-33

    4. Do College Students Adapt to Personal Learning Environment (PLE)? A Single-Group Study

      • Changsheng Chen, Xiangzeng Meng, Junxiao Liu, Zhi Liu
      Pages 34-47

    5. A Big Data Intelligence Marketplace and Secure Analytics Experimentation Platform for the Aviation Industry

      • Dimitrios Miltiadou, Stamatis Pitsios, Dimitrios Spyropoulos, Dimitrios Alexandrou, Fenareti Lampathaki, Domenico Messina et al.
      Pages 48-62

    6. A Multi-valued Logic Assessment of Organizational Performance via Workforce Social Networking

      • José Neves, Florentino Fdez-Riverola, Vitor Alves, Filipa Ferraz, Lia Sousa, António Costa et al.
      Pages 63-77

    7. Research on the Sharing and Application of TCM Digital Resources

      • Min Hu, Hao Li
      Pages 78-89

    8. Statistical Research on Macroeconomic Big Data: Using a Bayesian Stochastic Volatility Model

      • Minglei Shan
      Pages 90-103

    9. Introducing and Benchmarking a One-Shot Learning Gesture Recognition Dataset

      • Panagiotis Kasnesis, Christos Chatzigeorgiou, Charalampos Z. Patrikakis, Maria Rangoussi
      Pages 104-116

    10. NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems

      • Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
      Pages 117-135

  3. WiCON 2020

    1. Front Matter

      Pages 137-137
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    2. Performance Evaluation of Energy Detection, Matched Filtering and KNN Under Different Noise Models

      • Xiaoyan Wang, Jingjing Yang, Tengye Yu, Rui Li, Ming Huang
      Pages 139-149

    3. Hybrid Deep-Readout Echo State Network and Support Vector Machine with Feature Selection for Human Activity Recognition

      • Shadi Abudalfa, Kevin Bouchard
      Pages 150-167

    4. Research on User Privacy Security of China’s Top Ten Online Game Platforms

      • Lan-Yu Cui, Mi-Qian Su, Yu-Chen Wang, Zu -Mei Mo, Xiao-Yue Liang, Jian He et al.
      Pages 168-175

    5. Spectrum Sensing and Prediction for 5G Radio

      • MaÅ‚gorzata Wasilewska, Hanna Bogucka, Adrian Kliks
      Pages 176-194

    6. Towards Preventing Neighborhood Attacks: Proposal of a New Anonymization’s Approach for Social Networks Data

      • Requi Djomo, Thomas Djotio Ndie
      Pages 195-208

  4. Back Matter

    Pages 209-209
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Other volumes

  1. Big Data Technologies and Applications

Editors and Affiliations

  • School of Computer Science, China University of Geosciences, Wuhan, China

    Zeng Deze

  • South Central University for Nationalities, Wuhan, China

    Huan Huang, Rui Hou

  • Hongik University, Seoul, Korea (Republic of)

    Seungmin Rho

  • Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia

    Naveen Chilamkurti

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