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Web and Big Data

4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Xin Wang

    1. Tianjin University, Tianjin, China

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  2. Rui Zhang

    1. University of Melbourne, Melbourn, Australia

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  3. Young-Koo Lee

    1. Kyung Hee University, Yongin, Korea (Democratic People's Republic of)

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  4. Le Sun

    1. Nanjing University of Information Science and Technology, Nanjing, China

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  5. Yang-Sae Moon

    1. Kangwon National University, Chunchon, Korea (Republic of)

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12318)

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

Included in the following conference series:

Conference proceedings info: APWeb-WAIM 2020.

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About this book

This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference.
The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions.
The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

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Keywords

Table of contents (46 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Blockchain

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. DHBFT: Dynamic Hierarchical Byzantine Fault-Tolerant Consensus Mechanism Based on Credit

      • Fengqi Li, Kemeng Liu, Jing Liu, Yonggang Fan, Shengfa Wang
      Pages 3-17

    3. MaSRChain: A Trusted Manuscript Submission and Review System Based on Blockchain

      • Fengqi Li, Kemeng Liu, Haoyu Wu, Xu Zhang
      Pages 18-26

    4. Enabling Efficient Multi-keyword Search Over Fine-Grained Authorized Healthcare Blockchain System

      • Yicheng Ding, Wei Song, Yuan Shen
      Pages 27-41

  3. Data Mining

    1. Front Matter

      Pages 43-43
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    2. Debiasing Learning to Rank Models with Generative Adversarial Networks

      • Hui Cai, Chengyu Wang, Xiaofeng He
      Pages 45-60

    3. An Effective Constraint-Based Anomaly Detection Approach on Multivariate Time Series

      • Zijue Li, Xiaoou Ding, Hongzhi Wang
      Pages 61-69

    4. A Method for Decompensation Prediction in Emergency and Harsh Situations

      • Guozheng Rao, Shuying Zhao, Li Zhang, Qing Cong, Zhiyong Feng
      Pages 70-84

    5. Improved Brain Segmentation Using Pixel Separation and Additional Segmentation Features

      • Afifa Khaled, Chung-Ming Own, Wenyuan Tao, Taher Ahmed Ghaleb
      Pages 85-100

    6. Evaluating Fault Tolerance of Distributed Stream Processing Systems

      • Xiaotong Wang, Cheng Jiang, Junhua Fang, Ke Shu, Rong Zhang, Weining Qian et al.
      Pages 101-116

    7. Predicting Human Mobility with Self-attention and Feature Interaction

      • Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen
      Pages 117-131

    8. Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders

      • Meihao Hou, Fan Yang, Lizhen Cui, Wei Guo
      Pages 132-140

    9. Smarter Smart Contracts: Efficient Consent Management in Health Data Sharing

      • Mira Shah, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing
      Pages 141-155

    10. Joint Learning-Based Anomaly Detection on KPI Data

      • Yongqin Huang, Yijie Wang, Li Cheng
      Pages 156-163

    11. Parallel Variable-Length Motif Discovery in Time Series Using Subsequences Correlation

      • Chuitian Rong, Lili Chen, Chunbin Lin, Chao Yuan
      Pages 164-175

    12. Learning Ability Community for Personalized Knowledge Tracing

      • Juntao Zhang, Biao Li, Wei Song, Nanzhou Lin, Xiandi Yang, Zhiyong Peng
      Pages 176-192

    13. LOCATE: Locally Anomalous Behavior Change Detection in Behavior Information Sequence

      • Dingshan Cui, Lei Duan, Xinao Wang, Jyrki Nummenmaa, Ruiqi Qin, Shan Xiao
      Pages 193-208

    14. Hyperthyroidism Progress Prediction with Enhanced LSTM

      • Haiqin Lu, Mei Wang, Weiliang Zhao, Tingwei Su, Jian Yang
      Pages 209-217

  4. Text Analysis and Mining

    1. Front Matter

      Pages 219-219
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Other volumes

  1. Web and Big Data

  2. Web and Big Data

  3. Web and Big Data. APWeb-WAIM 2020 International Workshops

Editors and Affiliations

  • Tianjin University, Tianjin, China

    Xin Wang

  • University of Melbourne, Melbourn, Australia

    Rui Zhang

  • Kyung Hee University, Yongin, Korea (Democratic People's Republic of)

    Young-Koo Lee

  • Nanjing University of Information Science and Technology, Nanjing, China

    Le Sun

  • Kangwon National University, Chunchon, Korea (Republic of)

    Yang-Sae Moon

Bibliographic Information

  • Book Title: Web and Big Data

  • Book Subtitle: 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II

  • Editors: Xin Wang, Rui Zhang, Young-Koo Lee, Le Sun, Yang-Sae Moon

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-60290-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-60289-5Published: 14 October 2020

  • eBook ISBN: 978-3-030-60290-1Published: 13 October 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIV, 565

  • Number of Illustrations: 47 b/w illustrations, 190 illustrations in colour

  • Topics: Information Storage and Retrieval, Artificial Intelligence, Computer Applications, Computing Milieux

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