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Database Systems for Advanced Applications

29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Makoto Onizuka

    1. Osaka University, Suita, Japan

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  2. Jae-Gil Lee

    1. KAIST, Daejeon, Korea (Republic of)

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  3. Yongxin Tong

    1. Beihang University, Beijing, China

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  4. Chuan Xiao

    1. Osaka University, Osaka, Japan

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  5. Yoshiharu Ishikawa

    1. Nagoya University, Nagoya, Japan

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  6. Sihem Amer-Yahia

    1. University of Grenoble Alpes, Saint-Martin d’Hères, France

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  7. H. V. Jagadish

    1. University of Michigan, Ann Arbor, USA

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  8. Kejing Lu

    1. Nagoya University, Nagoya, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14856)

Included in the following conference series:

Conference proceedings info: DASFAA 2024.

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About this book

The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.

The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.

Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.

The conference presents papers on subjects such as:

Part I: Spatial and temporal data; database core technology; federated learning.

Part II: Machine learning; text processing.

Part III: Recommendation; multi-media.

Part IV: Privacy and security; knowledge base and graphs.

Part V: Natural language processing; large language model; time series and stream data.

Part VI: Graph and network; hardware acceleration.

Part VII: Emerging application; industry papers; demo papers.

 

Keywords

Table of contents (52 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. Emerging Application

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition

      • Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui
      Pages 3-18

    3. Flight Planning at Scale: A Bipartite Matching Based Approach

      • Tianlong Zhang, Chang Gao, Yuxiang Zeng, Shuyuan Li, Yi Xu, Yuanyuan Zhang
      Pages 19-36

    4. HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling

      • Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li
      Pages 37-52

    5. MODUS: An Impact-Aware Decision Framework with Adaptive Fusion for Connected Autonomous Vehicles

      • Quanlin Yu, Yuyang Xia, Shuncheng Liu, Weijie Lian, Rui Hu, Zhengzhuo Zhang et al.
      Pages 53-69

    6. DS-Ponzi: Anti-jamming Detection of Ponzi Scheme on Ethereum Utilizing Dynamic-Static Features of Smart Contract Codes

      • Kun Qian, Jinping Jia, Zhao Zhang, Xiang Li, Yanqin Yang, Cheqing Jin
      Pages 70-86

    7. Key Substructure Learning with Chemical Intuition for Material Property Prediction

      • Peiliang Zhang, Jingling Yuan, Lin Li, Wen Luo, Jiwei Hu, Xin Li
      Pages 87-103

    8. CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction

      • Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu
      Pages 104-120

    9. Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing

      • Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He
      Pages 121-138

    10. Design of an Electric Vehicles’ Energy Baseline Map and Application for Energy Consumption Analysis

      • Yi Liu, Sayoko Soga, Xin He, Yuto Tanaka, Takashi Tomii
      Pages 139-154

    11. Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction

      • Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang
      Pages 155-171

    12. scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding

      • Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou et al.
      Pages 172-187

    13. TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection

      • Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li
      Pages 188-198

    14. Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks

      • Yang Wang, Xinye Wang, Chengxin He, Xiaocong Chen, Zhaohang Luo, Lei Duan et al.
      Pages 199-209

    15. AdaShifter: An Online Data Annotation Framework Under Human-Machine Collaboration

      • Shanyang Jiang, Lan Zhang
      Pages 210-219

    16. Imitation Learning Decision with Driving Style Tuning for Personalized Autonomous Driving

      • Rui Hu, Yuze Wang, Ximu Zeng, Shuncheng Liu, Quanlin Yu, Peicong Wu et al.
      Pages 220-231

    17. Hierarchical Cross-Level Graph Contrastive Learning for Drug-Drug Interaction Prediction

      • Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong
      Pages 232-242

    18. Representation and Granularity Joint Alignment Framework for Multimodal Sarcasm Detection on Social Media

      • Jiapei Hu, Yifan Lyu, Yun Xue, Fenghuan Li, Qianhua Cai
      Pages 243-253

    19. DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences

      • Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang
      Pages 254-263
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Other volumes

  1. Database Systems for Advanced Applications

  2. Database Systems for Advanced Applications

Editors and Affiliations

  • Osaka University, Suita, Japan

    Makoto Onizuka

  • KAIST, Daejeon, Korea (Republic of)

    Jae-Gil Lee

  • Beihang University, Beijing, China

    Yongxin Tong

  • Osaka University, Osaka, Japan

    Chuan Xiao

  • Nagoya University, Nagoya, Japan

    Yoshiharu Ishikawa, Kejing Lu

  • University of Grenoble Alpes, Saint-Martin d’Hères, France

    Sihem Amer-Yahia

  • University of Michigan, Ann Arbor, USA

    H. V. Jagadish

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