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  • © 2020

Web and Big Data

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

Conference proceedings info: APWeb-WAIM 2020.

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Table of contents (59 papers)

  1. Front Matter

    Pages i-xxiii
  2. Big Data Analytic

    1. Front Matter

      Pages 1-1
    2. Instance-Aware Evaluation of Sensitive Columns in Tabular Dataset

      • Zheng Gong, Kechun Zhao, Hui Li, Yingxue Wang
      Pages 11-19
    3. EPUR: An Efficient Parallel Update System over Large-Scale RDF Data

      • Xiang Kang, Pingpeng Yuan, Hai Jin
      Pages 20-34
  3. Graph Data and Social Networks

    1. Front Matter

      Pages 35-35
    2. Partition-Oriented Subgraph Matching on GPU

      • Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu
      Pages 53-68
    3. Efficient Personalized Influential Community Search in Large Networks

      • Yanping Wu, Jun Zhao, Renjie Sun, Chen Chen, Xiaoyang Wang
      Pages 86-101
    4. Leveraging Explicit Unsupervised Information for Robust Graph Convolutional Neural Network Learning

      • Chu Zheng, Peiyun Wu, Xiaowang Zhang, Zhiyong Feng
      Pages 102-111
    5. Content Sharing Prediction for Device-to-Device (D2D)-based Offline Mobile Social Networks by Network Representation Learning

      • Qing Zhang, Xiaoxu Ren, Yifan Cao, Hengda Zhang, Xiaofei Wang, Victor Leung
      Pages 112-126
    6. LSimRank: Node Similarity in a Labeled Graph

      • Yang Wu, Ada Wai-Chee Fu, Cheng Long, Zitong Chen
      Pages 127-144
    7. Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG

      • Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng
      Pages 145-153
    8. Frequent Semantic Trajectory Sequence Pattern Mining in Location-Based Social Networks

      • Zhen Zhang, Jing Zhang, Fuxue Li, Xiangguo Zhao, Xin Bi
      Pages 154-161
    9. Aligning Users Across Social Networks via Intra and Inter Attentions

      • Zhichao Huang, Xutao Li, Yunming Ye
      Pages 162-169
  4. Knowledge Graph

    1. Front Matter

      Pages 179-179
    2. Knowledge Graph Attention Network Enhanced Sequential Recommendation

      • Xingwei Zhu, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Lei Zhao, Xuefeng Xian et al.
      Pages 181-195
    3. TKGFrame: A Two-Phase Framework for Temporal-Aware Knowledge Graph Completion

      • Jiasheng Zhang, Yongpan Sheng, Zheng Wang, Jie Shao
      Pages 196-211

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.

Keywords

  • artificial intelligence
  • computer networks
  • computer science
  • computer systems
  • databases
  • education
  • engineering
  • graph theory
  • information retrieval
  • internet
  • learning
  • linguistics
  • machine learning
  • mathematics
  • network protocols
  • recommender systems
  • semantics
  • signal processing
  • theoretical computer science
  • World Wide Web

Editors and Affiliations

  • Tianjin University, Tianjin, China

    Xin Wang

  • University of Melbourne, Melbourn, Australia

    Rui Zhang

  • Kyung Hee University, Yongin, Korea (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 I

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-60259-8

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-60258-1Published: 16 October 2020

  • eBook ISBN: 978-3-030-60259-8Published: 15 October 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIII, 829

  • Number of Illustrations: 132 b/w illustrations, 239 illustrations in colour

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

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
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