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Data Science

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Jing He

    1. Swinburne University of Technology, Melbourne, Australia

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  2. Philip S. Yu

    1. University of Illinois at Chicago, Chicago, USA

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  3. Yong Shi

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

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  4. Xingsen Li

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

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  5. Zhijun Xie

    1. Ningbo University, Ningbo, China

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  6. Guangyan Huang

    1. Deakin University, Burwood, Australia

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  7. Jie Cao

    1. Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China

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  8. Fu Xiao

    1. Nanjing University of Posts and Telecommunications, Nanjing, China

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

Included in the following conference series:

Conference proceedings info: ICDS 2019.

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Table of contents (65 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    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. Scheduling Multi-objective IT Projects and Human Resource Allocation by NSVEPSO

      • Yan Guo, Haolan Zhang, Chaoyi Pang
      Pages 12-24

    4. Dockless Bicycle Sharing Simulation Based on Arena

      • Wang Chunmei
      Pages 25-31

    5. Simplification of 3D City Models Based on K-Means Clustering

      • Hui Cheng, Bingchan Li, Bo Mao
      Pages 32-39

    6. Comprehensive Evaluation Model on New Product Introduction of Convenience Stores Based on Multidimensional Data

      • Hongjuan Li, Ding Ding, Jingbo Zhang
      Pages 40-50

    7. Lane Marking Detection Algorithm Based on High-Precision Map

      • Haichang Yao, Chen Chen, Shangdong Liu, Kui Li, Yimu Ji, Ruchuan Wang
      Pages 51-57

    8. Measurement Methodology for Empirical Study on Pedestrian Flow

      • Liping Lian, Jiansheng Wu, Tinghui Qin, Jinhui Hu, Chenyang Yan
      Pages 58-66

    9. Discovering Traffic Anomaly Propagation in Urban Space Using Traffic Change Peaks

      • Guang-Li Huang, Yimu Ji, Shangdong Liu, Roozbeh Zarei
      Pages 67-76

    10. Forecasting on Electricity Consumption of Tourism Industry in Changli County

      • Zili Huang, Zhengze Li, Yongcheng Zhang, Kun Guo
      Pages 77-87

    11. Application of Power Big Data in Targeted Poverty Alleviation—Taking Poverty Counties in Jiangxi Province as an Example

      • Jing Mengtong, Liu Kefan, Huang Zili, Guo Kun
      Pages 88-98

    12. Algorithms Research of the Illegal Gas Station Discovery Based on Vehicle Trajectory Data

      • Shaobin Lu, Guilin Li
      Pages 99-111

    13. 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
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    2. Study on Production Possibility Frontier Under Different Production Function Assumptions

      • Weimin Jiang, Jin Fan
      Pages 121-131

    3. The List 2-Distance Coloring of Sparse Graphs

      • Yue Wang, Tao Pan, Lei Sun
      Pages 132-146

    4. Multilingual Knowledge Graph Embeddings with Neural Networks

      • Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo
      Pages 147-157

    5. 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

    6. 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
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Other volumes

  1. Data Science

Keywords

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

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