Skip to main content
Springer Nature Link
Log in

Advances in Knowledge Discovery and Data Mining

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

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. João Gama

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Tianrui Li

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Yang Yu

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Enhong Chen

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Yu Zheng

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Fei Teng

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

    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 13280)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2022.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.

Similar content being viewed by others

Keywords

Table of contents (50 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Data Science

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. PGADA: Perturbation-Guided Adversarial Alignment for Few-Shot Learning Under the Support-Query Shift

      • Siyang Jiang, Wei Ding, Hsi-Wen Chen, Ming-Syan Chen
      Pages 3-15

    3. Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning

      • Linh Ngo Van, Nam Le Hai, Hoang Pham, Khoat Than
      Pages 16-28

    4. Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms

      • Junfeng Wu, Guangyan Huang, Roozbeh Zarei, Jianxin Li, Guang-Li Huang, Hui Zheng et al.
      Pages 29-40

    5. Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process

      • Xiaoyun Mo, Mingqian Li, Mo Li
      Pages 41-53

    6. Are Edge Weights in Summary Graphs Useful? - A Comparative Study

      • Shinhwan Kang, Kyuhan Lee, Kijung Shin
      Pages 54-67

    7. Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction

      • Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada et al.
      Pages 68-80

    8. LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation

      • Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang
      Pages 81-92

    9. Coded Hate Speech Detection via Contextual Information

      • Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek et al.
      Pages 93-105

    10. Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation

      • Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than
      Pages 106-117

    11. A Novel Semi-supervised Neural Network for Recognizing Parkinson’s Disease

      • Zhehao Zhang, Xiaobo Zhang, Dengmin Wen, Lilan Peng, Yuxin Zhou
      Pages 118-130

    12. ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification

      • Jiaxin Zhang, Jie Liu, Shaowei Chen, Shaoxin Lin, Bingquan Wang, Shanpeng Wang
      Pages 131-142

    13. AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification

      • Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou
      Pages 143-155

    14. Aspect-Based Sentiment Analysis Through EDU-Level Attentions

      • Ting Lin, Aixin Sun, Yequan Wang
      Pages 156-168

    15. Interconnected Neural Linear Contextual Bandits with UCB Exploration

      • Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao
      Pages 169-181

    16. Node Information Awareness Pooling for Graph Representation Learning

      • Chuan Sun, Feihu Huang, Jian Peng
      Pages 182-193

    17. dK-Personalization: Publishing Network Statistics with Personalized Differential Privacy

      • Masooma Iftikhar, Qing Wang, Yang Li
      Pages 194-207

    18. Residual Vector Product Quantization for Approximate Nearest Neighbor Search

      • Zhi Xu, Lushuai Niu, Ruimin Meng, Longyang Zhao, Jianqiu Ji
      Pages 208-220

    19. Data Removal from an AUC Optimization Model

      • Jie Li, Jun-Qi Guo, Wei Gao
      Pages 221-235
Back to top

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

Bibliographic Information

Publish with us

Policies and ethics

Back to top