Web Information Systems and Applications: 17th International Conference, WISA 2020, Guangzhou, China, September 23–25, 2020, Proceedings | SpringerLink
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Web Information Systems and Applications

17th International Conference, WISA 2020, Guangzhou, China, September 23–25, 2020, Proceedings

  • Conference proceedings
  • © 2020

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Editors:
  1. Guojun Wang

    1. Guangzhou University, Guangzhou, China

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  2. Xuemin Lin

    1. The University of New South Wales, Sydney, Australia

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  3. James Hendler

    1. Rensselaer Polytechnic Institute, Troy, USA

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  4. Wei Song

    1. Wuhan University, Wuhan, China

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  5. Zhuoming Xu

    1. Hohai University, Nanjing, China

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  6. Genggeng Liu

    1. Fuzhou University, Fuzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12432)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Conference proceedings info: WISA 2020.

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About this book

This book constitutes the proceedings of the 17th International Conference on Web Information Systems and Applications, WISA 2020, held in Guangzhou, China, in September 2020. The 42 full papers and 16 short papers presented were carefully reviewed and selected from 165 submissions. The papers are grouped in topical sections on world wide web, recommendation, query processing and algorithm, natural language processing, machine learning, graph query, edge computing and data mining, data privacy and security, and blockchain.

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Table of contents (58 papers)

  1. Front Matter

    Pages i-xvi
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  2. World Wide Web

    1. Front Matter

      Pages 1-1
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    2. Influence of Periodic Role Switching Intervals on Pair Programming Effectiveness

      • Bin Xu, Sheng Yan, Kening Gao, Yu Zhang, Ge Yu
      Pages 3-14

    3. Test Case Minimization for Regression Testing of Composite Service Based on Modification Impact Analysis

      • Xintang Lin, Haibo Zhang, Hui Xia, Liangjiang Yu, Xiangyan Fang, Xuan Chen et al.
      Pages 15-26

    4. Test Case Generation of Composite Web Services Based on Semantic Matching and Condition Recognition

      • Haibo Zhang, Hui Xia, Xintang Lin, Liangjiang Yu, Xiangyan Fang, Xuan Chen et al.
      Pages 27-35

    5. An Integrated Optimization Approach for Production-Distribution Planning in Supply Chain

      • Lingjuan Hou, Chenchen Sun, Zhijiang Hou
      Pages 36-45

    6. Extraction and Portrait of Knowledge Points for Open Learning Resources

      • Jian Yu, Tingxu Jiang, Tianyi Xu, Jie Gao, Jun Chen, Mei Yu et al.
      Pages 46-56

  3. Recommendation

    1. Front Matter

      Pages 57-57
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    2. Deep Hybrid Knowledge Graph Embedding for Top-N Recommendation

      • Jian Li, Zhuoming Xu, Yan Tang, Bo Zhao, Haimei Tian
      Pages 59-70

    3. PS-LDA: A Course Item Model for Tutorial Personalized Recommendation

      • Yuefeng Du, Angzhi Liu, Xiaoguang Li, Baoyan Song
      Pages 71-83

    4. An Explainable Recommendation Method Based on Multi-timeslice Graph Embedding

      • Huiying Wang, Yue Kou, Derong Shen, Tiezheng Nie
      Pages 84-95

    5. Effective Knowledge-Aware Recommendation via Graph Convolutional Networks

      • Bo Zhao, Zhuoming Xu, Yan Tang, Jian Li, Bei Liu, Haimei Tian
      Pages 96-107

    6. Geographical Information Enhanced POI Hierarchical Classification

      • Shaopeng Liu, Jifan Yu, Juanzi Li, Lei Hou
      Pages 108-119

    7. GNE: Generic Heterogeneous Information Network Embedding

      • Chao Kong, Baoxiang Chen, Shaoying Li, Yifan Chen, Jiahui Chen, Liping Zhang
      Pages 120-127

  4. Query Processing and Algorithm

    1. Front Matter

      Pages 129-129
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    2. SLPSO-Based X-Architecture Steiner Minimum Tree Construction

      • Xiaohua Chen, Ruping Zhou, Genggeng Liu, Xin Wang
      Pages 131-142

    3. Micro-nano Depth Information Recovery Method Based on TV Regularization

      • Mingxin Zhang, Qiuyu Wu, Yongjun Liu
      Pages 143-154

    4. An Approach for Progressive Set Similarity Join with GPU Accelerating

      • Lining Yu, Tiezheng Nie, Derong Shen, Yue Kou
      Pages 155-167

    5. Prediction Method of Code Review Time Based on Hidden Markov Model

      • Weifeng Zhang, Zhen Pan, Ziyuan Wang
      Pages 168-175

    6. Evaluation and Prediction of COVID-19 Based on Time-Varying SIR Model

      • Liu Yanzhe, Liu Bingxiang
      Pages 176-183
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Other volumes

  1. Web Information Systems and Applications

Editors and Affiliations

  • Guangzhou University, Guangzhou, China

    Guojun Wang

  • The University of New South Wales, Sydney, Australia

    Xuemin Lin

  • Rensselaer Polytechnic Institute, Troy, USA

    James Hendler

  • Wuhan University, Wuhan, China

    Wei Song

  • Hohai University, Nanjing, China

    Zhuoming Xu

  • Fuzhou University, Fuzhou, China

    Genggeng Liu

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