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Database Systems for Advanced Applications

29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Makoto Onizuka

    1. Osaka University, Suita, Japan

  2. Jae-Gil Lee

    1. KAIST, Daejeon, Korea (Republic of)

  3. Yongxin Tong

    1. Beihang University, Beijing, China

  4. Chuan Xiao

    1. Osaka University, Osaka, Japan

  5. Yoshiharu Ishikawa

    1. Nagoya University, Nagoya, Japan

  6. Sihem Amer-Yahia

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

  7. H. V. Jagadish

    1. University of Michigan, Ann Arbor, USA

  8. Kejing Lu

    1. Nagoya University, Nagoya, Japan

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14851)

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.

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Keywords

Table of contents (36 papers)

  1. Machine Learning

    1. Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy

      • Jie Zhang, Yiqun Niu, Wei He, Cheng Jin, Chongjun Wang
      Pages 291-300

    2. Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning

      • Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang et al.
      Pages 301-311

    3. SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor

      • Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui
      Pages 312-321

  2. Text Processing

    1. Front Matter

      Pages 323-323
      Download chapter PDF

    2. An Efficient Algorithm for Regular Expression Matching Using Variable-length-gram Inverted Index

      • Tao Qiu, Zheng Gong, Mengxiang Wang, Chuanyu Zong, Rui Zhu, Xiaochun Yang
      Pages 325-340

    3. A Retrieval-Augmented Framework for Tabular Interpretation with Large Language Model

      • Mengyi Yan, Weilong Ren, Yaoshu Wang, Jianxin Li
      Pages 341-356

    4. A Type Fusion and Span Relation Enhanced Event Extraction Framework for Confused Event

      • Fanshen Meng, Rongheng Lin
      Pages 357-372

    5. Cryptocurrency Topic Burst Prediction via Hybrid Twin-structured Multi-modal Learning

      • Keting Yin, Xiaen Sun, Tian Feng
      Pages 373-389

    6. EBCPL: A Novel Evidence-Based Method for Concept Prerequisite Relation Learning

      • JiaYu Zhang, XiaoYan Zhang, XiaoFeng Du, TianBo Lu
      Pages 390-405

    7. LongSum: An Efficient Transformer for Long Document Summarization

      • Jitong Wei, Yang Gao
      Pages 406-415

    8. Chimera Model of Candidate Soups for Non-Autoregressive Translation

      • Huanran Zheng, Wei Zhu, Xiaoling Wang
      Pages 416-425

    9. Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News Recommendation

      • Yingzhi Miao, Martin Pavlovski, Zhiqiang Chen, Fang Zhou
      Pages 426-435

    10. A Dynamic pre-trained Model for Chinese Classical Poetry

      • Xiaotong Wang, Xuanning Liu, Haorui Wang, Bin Wu
      Pages 436-445

    11. Detecting Incoming Fake News in News Streams via Efficient Topic-Based Correlation

      • Xiaomei Wei, Yongcheng Zhang, Ruohan Yang, Huan Wang
      Pages 446-455

    12. Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE

      • Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian
      Pages 456-465

    13. Few-Shot Log Analysis with Prompt-Based Multi-task Transfer Learning

      • Mingjie Zhou, Weidong Yang, Lipeng Ma, Sihang Jiang, Bo Xu, Yanghua Xiao
      Pages 466-475

    14. Post-hoc Facts augmented Legal Judgment Prediction

      • Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu
      Pages 476-485

    15. SGDG: Improving Transformer Seq2Seq Models through Span Generation and Denoise Generation

      • Zhenfei Yang, Beiming Yu, Chenxiao Dou, Qian Zhang, Yansong Chua
      Pages 486-495

    16. What if User Preferences Shifts: Causal Disentanglement for News Recommendation

      • Yingzhi Miao, Zhiqiang Chen, Fang Zhou
      Pages 496-506

  3. Back Matter

    Pages 507-509
    Download chapter PDF
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Other volumes

  1. Database Systems for Advanced Applications. DASFAA 2024 International Workshops

  2. Database Systems for Advanced Applications

  3. Database Systems for Advanced Applications

  4. Database Systems for Advanced Applications

  5. Database Systems for Advanced Applications

  6. Database Systems for Advanced Applications

  7. Database Systems for Advanced Applications

  8. 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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