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© 2020

Data Mining and Big Data

5th International Conference, DMBD 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings

  • Ying Tan
  • Yuhui Shi
  • Milan Tuba
Conference proceedings DMBD 2020

Part of the Communications in Computer and Information Science book series (CCIS, volume 1234)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Sadeq Darrab, David Broneske, Gunter Saake
    Pages 14-25
  3. Dmitri Kostenko, Dmitriy Arseniev, Vyacheslav Shkodyrev, Vadim Onufriev
    Pages 26-33
  4. Yifeng Wang, Yuxi Rong, Hongyue Pan, Ke Liu, Yang Hu, Fangmin Wu et al.
    Pages 71-82
  5. Tingxian Wu, Ziru Zhao, Haoxiang Wei, Yan Peng
    Pages 83-94
  6. Siham A. Mohammed, Sadeq Darrab, Salah A. Noaman, Gunter Saake
    Pages 108-117
  7. Back Matter
    Pages 119-119

About these proceedings

Introduction

This book constitutes refereed proceedings of the 5th International Conference on Data Mining and Big Data, DMBD 2020, held in July 2020. Due to the COVID-19 pandemic the conference was held in a fully virtual format. 

The 7 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.

Keywords

artificial intelligence association rules communication channels (information theory) communication systems computer hardware computer networks computer systems computer vision correlation analysis data mining databases decision trees machine learning neural networks optimization signal processing

Editors and affiliations

  1. 1.Peking UniversityBeijingChina
  2. 2.Southern University of Science and TechnologyShenzhenChina
  3. 3.Singidunum UniversityBelgradeSerbia

Bibliographic information