Skip to main content
SpringerLink
Log in

Web and Big Data

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

  • Conference proceedings
  • © 2020

Access provided by Autonomous University of Puebla

Download book PDF
Download book EPUB

Overview

Editors:
  1. Xin Wang

    1. Tianjin University, Tianjin, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Rui Zhang

    1. University of Melbourne, Melbourn, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Young-Koo Lee

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Le Sun

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Yang-Sae Moon

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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.

Buy print copy

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

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.

Similar content being viewed by others

Keywords

Table of contents (46 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  3. Data Mining

    1. Front Matter

      Pages 43-43
      Download chapter PDF

    2. Debiasing Learning to Rank Models with Generative Adversarial Networks

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

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

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

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

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

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

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

    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
      Download chapter PDF

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

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

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

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

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

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

    10. Joint Learning-Based Anomaly Detection on KPI Data

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

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

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

    12. Learning Ability Community for Personalized Knowledge Tracing

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

    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
      Download chapter PDF

    14. Hyperthyroidism Progress Prediction with Enhanced LSTM

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

  4. Text Analysis and Mining

    1. Front Matter

      Pages 219-219
      Download chapter PDF
Back to top

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

Publish with us

Policies and ethics

Back to top

Search

Navigation