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  • Conference proceedings
  • © 2020

Data Science

6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1179)

Conference series link(s): ICDS: International Conference on Data Service

Conference proceedings info: ICDS 2019.

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Table of contents (65 papers)

  1. Front Matter

    Pages i-xvi
  2. Advancement of Data Science and Smart City Applications

    1. Front Matter

      Pages 1-1
    2. Application of Bayesian Belief Networks for Smart City Fire Risk Assessment Using History Statistics and Sensor Data

      • Jinlu Sun, Hongqiang Fang, Jiansheng Wu, Ting Sun, Xingchuan Liu
      Pages 3-11
    3. Simplification of 3D City Models Based on K-Means Clustering

      • Hui Cheng, Bingchan Li, Bo Mao
      Pages 32-39
    4. Lane Marking Detection Algorithm Based on High-Precision Map

      • Haichang Yao, Chen Chen, Shangdong Liu, Kui Li, Yimu Ji, Ruchuan Wang
      Pages 51-57
    5. Measurement Methodology for Empirical Study on Pedestrian Flow

      • Liping Lian, Jiansheng Wu, Tinghui Qin, Jinhui Hu, Chenyang Yan
      Pages 58-66
    6. Discovering Traffic Anomaly Propagation in Urban Space Using Traffic Change Peaks

      • Guang-Li Huang, Yimu Ji, Shangdong Liu, Roozbeh Zarei
      Pages 67-76
    7. Forecasting on Electricity Consumption of Tourism Industry in Changli County

      • Zili Huang, Zhengze Li, Yongcheng Zhang, Kun Guo
      Pages 77-87
    8. Improving Investment Return Through Analyzing and Mining Sales Data

      • Xinzhe Lu, Haolan Zhang, Ke Huang
      Pages 112-118
  3. Theory of Data Science

    1. Front Matter

      Pages 119-119
    2. The List 2-Distance Coloring of Sparse Graphs

      • Yue Wang, Tao Pan, Lei Sun
      Pages 132-146
    3. Multilingual Knowledge Graph Embeddings with Neural Networks

      • Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo
      Pages 147-157
    4. Sparse Optimization Based on Non-convex \(\ell _{1/2}\) Regularization for Deep Neural Networks

      • Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu
      Pages 158-166
    5. LSR-Forest: An LSH-Based Approximate k-Nearest Neighbor Query Algorithm on High-Dimensional Uncertain Data

      • Jiagang Wang, Tu Qian, Anbang Yang, Hui Wang, Jiangbo Qian
      Pages 167-177

Other Volumes

  1. Data Science

About this book

This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019.

The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. 

The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.

Editors and Affiliations

  • Swinburne University of Technology, Melbourne, Australia

    Jing He

  • University of Illinois at Chicago, Chicago, USA

    Philip S. Yu

  • College of Information Science and Technology, University of Nebraska at Omaha, Omaha, USA

    Yong Shi

  • Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou, China

    Xingsen Li

  • Ningbo University, Ningbo, China

    Zhijun Xie

  • Deakin University, Burwood, Australia

    Guangyan Huang

  • Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China

    Jie Cao

  • Nanjing University of Posts and Telecommunications, Nanjing, China

    Fu Xiao

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access