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Advanced Data Mining and Applications

19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2023

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Editors:
  1. Xiaochun Yang

    1. Northeastern University, Shenyang, China

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  2. Heru Suhartanto

    1. The University of Indonesia, Depok, Indonesia

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  3. Guoren Wang

    1. Beijing Institute of Technology, Beijing, China

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  4. Bin Wang

    1. Northeastern University, Shenyang, China

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  5. Jing Jiang

    1. University of Technology Sydney, Sydney, Australia

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  6. Bing Li

    1. Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

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  7. Huaijie Zhu

    1. Sun Yat-sen University, Guangzhou, China

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  8. Ningning Cui

    1. Anhui University, Hefei, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14177)

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

Included in the following conference series:

Conference proceedings info: ADMA 2023.

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About this book

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023.


The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.

Keywords

Table of contents (46 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Knowledge Graph

    1. Front Matter

      Pages 1-1
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    2. CKGE: Improving Distance Based Knowledge Graph Embedding via Contrastive Learning

      • Yafei Liu, Shuaishuai Zu, Li Li
      Pages 3-15

    3. Knowledge Graph Completion with Information Adaptation and Refinement

      • Yifan Liu, Bin Shang, Chenxin Wang, Yinliang Zhao
      Pages 16-31

    4. Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs

      • Yuanbo Xu, Yuanbo Zhang, Yongjian Yang, Hangtong Xu, Lin Yue
      Pages 32-45

    5. TKGAT: Temporal Knowledge Graph Representation Learning Using Attention Network

      • Shaowei Zhang, Zhao Li, Xin Wang, Zirui Chen, WenBin Guo
      Pages 46-61

    6. Separate-and-Aggregate: A Transformer-Based Patch Refinement Model for Knowledge Graph Completion

      • Chen Chen, Yufei Wang, Yang Zhang, Quan Z. Sheng, Kwok-Yan Lam
      Pages 62-77

    7. Two Birds with One Stone: A Link Prediction Model for Knowledge Hypergraph Based on Fully-Connected Tensor Decomposition

      • Jun Pang, Hong-Chao Qin, Yan Liu, Xiao-Qi Liu
      Pages 78-90

    8. HEM: An Improved Parametric Link Prediction Algorithm Based on Hybrid Network Evolution Mechanism

      • Dejing Ke, Jiansu Pu
      Pages 91-106

    9. Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction

      • Tingxuan Chen, Jun Long, Liu Yang, Guohui Li, Shuai Luo, Meihong Xiao
      Pages 107-121

  3. Multimedia

    1. Front Matter

      Pages 123-123
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    2. DQN-Based Stitching Algorithm for Unmanned Aerial Vehicle Images

      • Ji Ma, Wenci Liu, Tingwei Chen
      Pages 125-138

    3. HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Network for Image Classification

      • Haowen Liu, Yufei Gao, Lei Shi, Lin Wei, Zheng Shan, Bo Zhao
      Pages 139-151

    4. DetOH: An Anchor-Free Object Detector with Only Heatmaps

      • Ruohao Wu, Xi Xiao, Guangwu Hu, Hanqing Zhao, Han Zhang, Yongqing Peng
      Pages 152-167

    5. LAANet: An Efficient Automatic Modulation Recognition Model Based on LSTM-Autoencoder and Attention Mechanism

      • Qing Li, Xin Zhou
      Pages 168-182

    6. A Compact Phoneme-To-Audio Aligner for Singing Voice

      • Meizhen Zheng, Peng Bai, Xiaodong Shi
      Pages 183-197

    7. Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-training

      • Feifei Fu, Zelong Sun, Guoxing Yang, Xiaolong He, Zhiwu Lu
      Pages 198-213

  4. Medical Image Analysis

    1. Front Matter

      Pages 215-215
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    2. Breast Cancer Histopathology Image Classification Using Frequency Attention Convolution Network

      • Ruidong Lu, Qiule Sun, Xueyan Ding, Jianxin Zhang
      Pages 217-229

    3. Wavelet-SVDD: Anomaly Detection and Segmentation with Frequency Domain Attention

      • Linhui Zhou, Weiyu Guo, Jing Cao, Xinyue Zhang, Yue Wang
      Pages 230-243
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Other volumes

  1. Advanced Data Mining and Applications

  2. Advanced Data Mining and Applications

  3. Advanced Data Mining and Applications

  4. Advanced Data Mining and Applications

  5. Advanced Data Mining and Applications

Editors and Affiliations

  • Northeastern University, Shenyang, China

    Xiaochun Yang, Bin Wang

  • The University of Indonesia, Depok, Indonesia

    Heru Suhartanto

  • Beijing Institute of Technology, Beijing, China

    Guoren Wang

  • University of Technology Sydney, Sydney, Australia

    Jing Jiang

  • Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Bing Li

  • Sun Yat-sen University, Guangzhou, China

    Huaijie Zhu

  • Anhui University, Hefei, China

    Ningning Cui

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