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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 II

  • 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 13281)

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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Table of contents (42 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Foundations

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Text2Chart: A Multi-staged Chart Generator from Natural Language Text

      • Md. Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat, Riyasaat Ahmed Rahul, Tamim Bin Zakir, Farhana Meem et al.
      Pages 3-16

    3. ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection

      • Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray Buntine, Christopher Leckie
      Pages 17-29

    4. Convergence and Applications of ADMM on the Multi-convex Problems

      • Junxiang Wang, Liang Zhao
      Pages 30-43

    5. Prototypical Classifier for Robust Class-Imbalanced Learning

      • Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
      Pages 44-57

    6. Quantum Entanglement Inspired Correlation Learning for Classification

      • Junwei Zhang, Zhao Li, Juan Wang, Yinghui Wang, Shichang Hu, Jie Xiao et al.
      Pages 58-70

    7. Self-paced Safe Co-training for Regression

      • Fan Min, Yu Li, Liyan Liu
      Pages 71-82

    8. Uniform Evaluation of Properties in Activity Recognition

      • Seyed M. R. Modaresi, Aomar Osmani, Mohammadreza Razzazi, Abdelghani Chibani
      Pages 83-95

    9. Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers

      • Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti
      Pages 96-108

    10. Attention-to-Embedding Framework for Multi-instance Learning

      • Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min
      Pages 109-121

    11. Multi-instance Embedding Learning Through High-level Instance Selection

      • Mei Yang, Wen-Xi Zeng, Fan Min
      Pages 122-133

    12. High Average-Utility Itemset Sampling Under Length Constraints

      • Lamine Diop
      Pages 134-148

    13. Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias

      • Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker
      Pages 149-160

    14. Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction

      • Yu Fang, Xue-Mei Cao, Xin Wang, Fan Min
      Pages 161-173

    15. A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation

      • Jiangmei Luo, Qingsheng Zhu, Junnan Li, Dongdong Cheng, Mingqiang Zhou
      Pages 174-186

    16. Modelling Zeros in Blockmodelling

      • Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter Stuckey, James Bailey et al.
      Pages 187-198

    17. Towards Better Generalization for Neural Network-Based SAT Solvers

      • Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai et al.
      Pages 199-210

    18. Robust and Provable Guarantees for Sparse Random Embeddings

      • Maciej Skorski, Alessandro Temperoni, Martin Theobald
      Pages 211-223

    19. Transferable Interpolated Adversarial Attack with Random-Layer Mixup

      • Size Ma, Keji Han, Xianzhong Long, Yun Li
      Pages 224-235
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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

Keywords

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.

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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