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Database Systems for Advanced Applications

28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

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Editors:
  1. Xin Wang

    1. Tianjin University, Tianjin, China

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  2. Maria Luisa Sapino

    1. University of Torino, Turin, Italy

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  3. Wook-Shin Han

    1. POSTECH, Pohang, Korea (Republic of)

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  4. Amr El Abbadi

    1. University of California Santa Barbara, Santa Barbara, USA

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  5. Gill Dobbie

    1. University of Auckland, Auckland, New Zealand

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  6. Zhiyong Feng

    1. Tianjin University, Tianjin, China

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  7. Yingxiao Shao

    1. Beijing University of Posts and Telecommunications, Beijing, China

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  8. Hongzhi Yin

    1. The University of Queensland, Brisbane, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13943)

Included in the following conference series:

Conference proceedings info: DASFAA 2023.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Query Processing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Semantic-Driven Instance Generation for Table Question Answering

      • Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu et al.
      Pages 3-18

    3. Fine-Grained Tuple Transfer for Pipelined Query Execution on CPU-GPU Coprocessor

      • Zhenhua Yang, Qingfeng Pan, Chen Xu
      Pages 19-34

    4. Efficient Index-Based Regular Expression Matching with Optimal Query Plan Tree

      • Tao Qiu, Xiaochun Yang, Bin Wang, Chuanyu Zong, Rui Zhu, Xiufeng Xia
      Pages 35-45

    5. PFtree: Optimizing Persistent Adaptive Radix Tree for PM Systems on eADR Platform

      • Rui Zhang, Yao Wu, Shangyi Sun, Lulu Chen, Yibo Huang, Ming Yan et al.
      Pages 46-61

    6. Learned Bloom Filter for Multi-key Membership Testing

      • Yunchuan Li, Ziwei Wang, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng
      Pages 62-79

    7. ACR-Tree: Constructing R-Trees Using Deep Reinforcement Learning

      • Shuai Huang, Yong Wang, Guoliang Li
      Pages 80-96

    8. A Scalable Query Pricing Framework for Incomplete Graph Data

      • Huiwen Hou, Lianpeng Qiao, Ye Yuan, Chen Chen, Guoren Wang
      Pages 97-113

    9. Answering Label-Constrained Reachability Queries via Reduction Techniques

      • Yuzheng Cai, Weiguo Zheng
      Pages 114-131

    10. JG2Time: A Learned Time Estimator for Join Operators Based on Heterogeneous Join-Graphs

      • Hao Miao, Jiazun Chen, Yang Lin, Mo Xu, Yinjun Han, Jun Gao
      Pages 132-147

  3. Time Series Data

    1. Front Matter

      Pages 149-149
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    2. Long-Tailed Time Series Classification via Feature Space Rebalancing

      • Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang
      Pages 151-166

    3. Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation

      • Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lin-Tao Ma, James Zhang et al.
      Pages 167-176

    4. Orthrus: A Dual-Branch Model for Time Series Forecasting with Multiple Exogenous Series

      • Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu
      Pages 177-187

    5. A Predictive Coding Approach to Multivariate Time Series Anomaly Detection

      • Zhi Qi, Hong Xie, Mingsheng Shang
      Pages 188-204

    6. RpDelta: Supporting UCR-Suite on Multi-versioning Time Series Data

      • Xiaoyu Han, Fei Ye, Zhenying He, X. Sean Wang, Yingze Song, Clement Liu
      Pages 205-220

    7. GP-HLS: Gaussian Process-Based Unsupervised High-Level Semantics Representation Learning of Multivariate Time Series

      • Chengyang Ye, Qiang Ma
      Pages 221-236

    8. Towards Time-Series Key Points Detection Through Self-supervised Learning and Probability Compensation

      • Mingxu Yuan, Xin Bi, Xuechun Huang, Wei Zhang, Lei Hu, George Y. Yuan et al.
      Pages 237-252

    9. SNN-AAD: Active Anomaly Detection Method for Multivariate Time Series with Sparse Neural Network

      • Xiaoou Ding, Yida Liu, Hongzhi Wang, Donghua Yang, Yichen Song
      Pages 253-269
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Other volumes

  1. Database Systems for Advanced Applications. DASFAA 2023 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

Keywords

About this book

The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China.

The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.

Editors and Affiliations

  • Tianjin University, Tianjin, China

    Xin Wang, Zhiyong Feng

  • University of Torino, Turin, Italy

    Maria Luisa Sapino

  • POSTECH, Pohang, Korea (Republic of)

    Wook-Shin Han

  • University of California Santa Barbara, Santa Barbara, USA

    Amr El Abbadi

  • University of Auckland, Auckland, New Zealand

    Gill Dobbie

  • Beijing University of Posts and Telecommunications, Beijing, China

    Yingxiao Shao

  • The University of Queensland, Brisbane, Australia

    Hongzhi Yin

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