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Knowledge Science, Engineering and Management

14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part III

  • Conference proceedings
  • © 2021
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Overview

Editors:
  1. Han Qiu

    1. Tsinghua University, Beijing, China

  2. Cheng Zhang

    1. Ibaraki University, Hitachi, Japan

  3. Zongming Fei

    1. University of Kentucky, Lexington, USA

  4. Meikang Qiu

    1. Texas A&M University – Commerce, Commerce, USA

  5. Sun-Yuan Kung

    1. Princeton University, Princeton, USA

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12817)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: KSEM 2021.

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About this book

This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021.

The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Knowledge Management with Optimization and Security (KMOS)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation

      • Zhishen Nie, Ying Lin, Meng Yan, Yifan Cao, Shengfu Ning
      Pages 3-13

    3. Context-Aware Anomaly Detection in Attributed Networks

      • Ming Liu, Jianxin Liao, Jingyu Wang, Qi Qi, Haifeng Sun
      Pages 14-26

    4. An Efficient Hybrid Approach to Detecting and Correcting Auxiliary Word Errors in Chinese Text

      • Yang Cao, Shi Wang
      Pages 27-40

    5. Traffic Accident Prediction Methods Based on Multi-factor Models

      • HaoZhe Zhao, Guozheng Rao
      Pages 41-52

    6. Combining BERT and Multiple Embedding Methods with the Deep Neural Network for Humor Detection

      • Rida Miraj, Masaki Aono
      Pages 53-61

    7. An Efficient Link Prediction Model in Dynamic Heterogeneous Information Networks Based on Multiple Self-attention

      • Beibei Ruan, Cui Zhu
      Pages 62-74

    8. A Clustering-Prediction Pipeline for Customer Churn Analysis

      • Hanming Zheng, Ling Luo, Goce Ristanoski
      Pages 75-84

    9. Fine-Grained Unbalanced Interaction Network for Visual Question Answering

      • Xinxin Liao, Mingyan Wu, Heyan Chai, Shuhan Qi, Xuan Wang, Qing Liao
      Pages 85-97

    10. Swarm Intelligence-Based Feature Selection: An Improved Binary Grey Wolf Optimization Method

      • Wenqi Li, Hui Kang, Tie Feng, Jiahui Li, Zhiru Yue, Geng Sun
      Pages 98-110

    11. Integrating Real-Time Entity Resolution with Top-N Join Query Processing

      • Liang Zhu, Xinfeng Li, Yonggang Wei, Qin Ma, Weiyi Meng
      Pages 111-123

    12. Incorporating Question Information to Enhance the Performance of Automatic Short Answer Grading

      • Shuang Chen, Li Li
      Pages 124-136

    13. Integrating Task Information into Few-Shot Classifier by Channel Attention

      • Zhaochen Li, Kedian Mu
      Pages 137-148

    14. Rumor Verification on Social Media with Stance-Aware Recursive Tree

      • Xiaoyun Han, Zhen Huang, Menglong Lu, Dongsheng Li, Jinyan Qiu
      Pages 149-161

    15. Aspect and Opinion Terms Co-extraction Using Position-Aware Attention and Auxiliary Labels

      • Chao Liu, Xintong Wei, Min Yu, Gang Li, Xiangmei Ma, Jianguo Jiang et al.
      Pages 162-173

    16. Beyond Laplacian Smoothing for Semi-supervised Community Detection

      • Guoguo Ai, Hui Yan, Jian Yang, Xin Li
      Pages 174-187

    17. Landscape-Enhanced Graph Attention Network for Rumor Detection

      • Jianguo Jiang, Qiang Liu, Min Yu, Gang Li, Mingqi Liu, Chao Liu et al.
      Pages 188-199

    18. An Overview of Methods for Acquiring and Generating Decision Models

      • Vedavyas Etikala, Jan Vanthienen
      Pages 200-208

    19. Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion

      • Yan Chu, Zhengkui Wang, Lina Wang, Qingchao Zhao, Wen Shan
      Pages 209-221
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Other volumes

  1. Knowledge Science, Engineering and Management

  2. Knowledge Science, Engineering and Management

  3. Knowledge Science, Engineering and Management

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Han Qiu

  • Ibaraki University, Hitachi, Japan

    Cheng Zhang

  • University of Kentucky, Lexington, USA

    Zongming Fei

  • Texas A&M University – Commerce, Commerce, USA

    Meikang Qiu

  • Princeton University, Princeton, USA

    Sun-Yuan Kung

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