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Advances in Knowledge Discovery and Data Mining

26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. João Gama

    1. Laboratory of Artificial Intelligence and Decision Support, University of Porto, Porto, Portugal

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  2. Tianrui Li

    1. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

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  3. Yang Yu

    1. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

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  4. Enhong Chen

    1. School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

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  5. Yu Zheng

    1. JD iCity, JD Technology & JD Intelligent Cities Research, Beijing, China

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  6. Fei Teng

    1. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13282)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2022.

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About this book

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.

The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows:

Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

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Keywords

Table of contents (29 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. NewsKVQA: Knowledge-Aware News Video Question Answering

      • Pranay Gupta, Manish Gupta
      Pages 3-15

    3. Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation

      • Shenghao Liu, Bang Wang, Bin Liu, Laurence T. Yang
      Pages 16-28

    4. Deep Learning for Prawn Farming

      • Joel Janek Dabrowski, Ashfaqur Rahman, Andrew Hellicar, Mashud Rana, Stuart Arnold
      Pages 29-41

    5. Input Enhanced Logarithmic Factorization Network for CTR Prediction

      • Xianzhuang Li, Zhen Wang, Xuesong Wu, Bo Yuan, Xueqian Wang
      Pages 42-54

    6. A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification

      • Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
      Pages 55-66

    7. Bribery in Rating Systems: A Game-Theoretic Perspective

      • Xin Zhou, Shigeo Matsubara, Yuan Liu, Qidong Liu
      Pages 67-78

    8. IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection

      • Zilong Lin, Yong Shi, Zhi Xue
      Pages 79-91

    9. Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers

      • Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao et al.
      Pages 92-104

    10. Estimating Skill Proficiency from Resumes

      • Anindita Sinha Banerjee, Sachin Pawar, Girish K. Palshikar, Devavrat Thosar, Jyoti Bhat, Payodhi Mandloi
      Pages 105-118

    11. Causal Enhanced Uplift Model

      • Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He et al.
      Pages 119-131

    12. An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management

      • Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang
      Pages 132-146

    13. A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System

      • Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen
      Pages 147-160

    14. ToothCR: A Two-Stage Completion and Reconstruction Approach on 3D Dental Model

      • Haoyu Zhu, Xiuyi Jia, Changdong Zhang, Tingting Liu
      Pages 161-172

    15. BaDumTss: Multi-task Learning for Beatbox Transcription

      • Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty
      Pages 173-186

    16. Detail Perception Network for Semantic Segmentation in Water Scenes

      • Cuixiao Liang, Wenjie Cai, Shaowu Peng, Qiong Liu
      Pages 187-199

    17. Learning Discriminative Representation Base on Attention for Uplift

      • Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai et al.
      Pages 200-211

    18. Mental Health Treatments Using an Explainable Adaptive Clustering Model

      • Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava
      Pages 212-222

    19. S\(^2\)QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph

      • Daoguang Zan, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan et al.
      Pages 223-236
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Advances in Knowledge Discovery and Data Mining

Editors and Affiliations

  • Laboratory of Artificial Intelligence and Decision Support, University of Porto, Porto, Portugal

    João Gama

  • School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

    Tianrui Li, Fei Teng

  • National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

    Yang Yu

  • School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

    Enhong Chen

  • JD iCity, JD Technology & JD Intelligent Cities Research, Beijing, China

    Yu Zheng

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