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© 2018

Data Science

4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part I

  • Qinglei Zhou
  • Yong Gan
  • Weipeng Jing
  • Xianhua Song
  • Yan Wang
  • Zeguang Lu
Conference proceedings ICPCSEE 2018

Part of the Communications in Computer and Information Science book series (CCIS, volume 901)

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Yasu Zhang, Haiquan Wang, Jiejie Zhao, Bo An
    Pages 33-47
  3. Lu Yuan, Yan Zhou, Jia-run Fu, Ling-yu Yan, Chun-zhi Wang
    Pages 48-59
  4. Lin Dong, Xinhong Hei, Xiaojiao Liu, Ping He, Bin Wang
    Pages 60-73
  5. Linlin Ding, Xiao Zhang, Mingxin Sun, Aili Liu, Baoyan Song
    Pages 74-87
  6. Jingya Hui, Lingli Li, Zhaogong Zhang
    Pages 101-121
  7. Xinhua Dong, Heng He, Chao Li, Yongchuan Liu, Houbo Xiong
    Pages 122-139
  8. Linxia Yao, Haojie Huang, Jidong Ge, Simeng Zhao, Peitang Ling, Ting Lei et al.
    Pages 140-150
  9. Linchao He, Dejun Zhang, Long Tian, Fei Han, Mengting Luo, Yilin Chen et al.
    Pages 212-224
  10. Bohong Yang, Hong Lu, Baogen Li, Zheng Zhang, Wenqiang Zhang
    Pages 225-240

Other volumes

  1. Data Science
    4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part I
  2. 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part II

About these proceedings

Introduction

This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. 

The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.

Keywords

artificial intelligence cloud computing clustering algorithms computer crime data mining data security image processing internet learning algorithms mobile computing mobile devices neural networks semantics social networking Support Vector Machines (SVM) telecommunication networks user interfaces wireless networks wireless sensor networks wireless telecommunication systems

Editors and affiliations

  • Qinglei Zhou
    • 1
  • Yong Gan
    • 2
  • Weipeng Jing
    • 3
  • Xianhua Song
    • 4
  • Yan Wang
    • 5
  • Zeguang Lu
    • 6
  1. 1.Zhengzhou UniversityZhengzhouChina
  2. 2.Zhengzhou University of Light IndustryZhengzhouChina
  3. 3.Northeast Forestry UniversityHarbinChina
  4. 4.Harbin University of Science and TechnologyHarbinChina
  5. 5.Zhengzhou Institute of TechnologyZhengzhouChina
  6. 6.National Academy of Guo Ding Institute of Data ScienceBeijingChina

Bibliographic information

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