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Database Systems for Advanced Applications. DASFAA 2023 International Workshops

BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Amr El Abbadi

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

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  2. Gillian Dobbie

    1. University of Auckland, Auckland, New Zealand

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  3. Zhiyong Feng

    1. Tianjin University, Tianjin, China

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  4. Lu Chen

    1. Zhejiang University, Hangzhou, China

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  5. Xiaohui Tao

    1. The University of Southern Queensland, Queensland, Australia

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  6. Yingxia Shao

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

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  7. 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 13922)

Included in the following conference series:

Conference proceedings info: DASFAA 2023.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. BDMS

    1. Front Matter

      Pages 1-1
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    2. Blood and Blood Products Management System Based on Blockchain, and NFT Technologies

      • Hong Khanh Vo, Bao Q. Tran, Hieu M. Doan, Kiet T. Le, Nguyen D. P. Trong, Hieu V. Le et al.
      Pages 3-18

    3. ip2text: A Reasoning-Aware Dataset for Text Generation of Devices on the Internet

      • Yimo Ren, Zhi Li, Hong Li, Peipei Liu, Jie Liu, Hongsong Zhu et al.
      Pages 19-33

    4. Spatio-Textual Group Skyline Query

      • Mengmeng Sun, Yiping Teng, Fanyou Zhao, Jiawei Qi, Dongyue Jiang, Chunlong Fan
      Pages 34-50

    5. Towards a Cash-on-Delivery Management Solution Based on Blockchain, Smart Contracts, and NFT

      • Luong Hoang Huong, Bao Q. Tran, Hieu M. Doan, Nguyen D. P. Trong, Hieu V. Le, Loc V. C. Phu et al.
      Pages 51-66

    6. EGL: Efficient Graph Learning with Safety Constrains for Heterogeneous Trajectory Prediction

      • Weijie Lian, Yuze Wang, Ximu Zeng, Shuncheng Liu, Yuyang Xia, Huiyong Tang et al.
      Pages 67-78

    7. MeFormer: Generating Radiology Reports via Memory Enhanced Pretraining Transformer

      • Fang Li, Pengfei Wang, Kuan Lin, Jiangtao Wang
      Pages 79-94

    8. Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders

      • Yucheng Li, Defu Lian, Jin Chen
      Pages 95-108

    9. Syndrome-Aware Herb Recommendation with Heterogeneous Graph Neural Network

      • Jiayin Huang, Wenjing Yue, Yiqiao Wang, Jiong Zhu, Liqiang Ni
      Pages 109-124

  3. BDQM

    1. Front Matter

      Pages 125-125
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    2. Fault Prediction Based on Traffic Light Data Cleaning

      • Weijia Feng, Siyao Qi, Wenwen Liu, Yunhe Chen, Zhangzhen Nie, Jia Guo
      Pages 127-137

    3. Auto-TSA: An Automatic Time Series Analysis System Based on Meta-learning

      • Tianyu Mu, Zhenli Sheng, Lekui Zhou, Hongzhi Wang
      Pages 138-147

  4. BundleRS

    1. Front Matter

      Pages 149-149
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    2. Mobile Application Ranking with Transductive Transfer Learning

      • Xichang Li, Surya Putra Santoso, Rui Zhang
      Pages 151-165

    3. Vessel Trajectory Segmentation: A Survey

      • Zhipei Yu, Hanyue Wu, Zhenzhong Yin, Kezhong Liu, Rui Zhang
      Pages 166-180

    4. Deep Normalization Cross-Modal Retrieval for Trajectory and Image Matching

      • Xudong Zhang, Wenfeng Zhao
      Pages 181-193

    5. \(\text {C}^3\)BR: Category-Aware Cross-View Contrastive Learning Framework for Bundle Recommendation

      • Fuyong Xu, Zhenfang Zhu, Peiyu Liu, Ru Wang
      Pages 194-203

  5. GDMA

    1. Front Matter

      Pages 205-205
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    2. Threat Action Extraction Based on Coreference Resolution

      • Dengtian Mao, Ruike Zhao, Rui He, Pengyi He, Fanghui Ning, Lingqi Zeng
      Pages 207-221
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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

This volume constitutes the papers of several workshops which were held in conjunction with the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in Tanjin, China, in April 2023.

The 23 revised full papers presented in this book were carefully reviewed and selected from 40 submissions. DASFAA 2023 presents the following four workshops:
9th International Workshop on Big Data Management and Service (BDMS 2023), 8th International Workshop on Big Data Quality Management (BDQM 2023); 7th International Workshop on Graph Data Management and Analysis (GDMA 2023); 1st International Workshop on Bundle-based Recommendation Systems (BundleRS 2023).

Editors and Affiliations

  • University of California, Santa Barbara, Santa Barbara, USA

    Amr El Abbadi

  • University of Auckland, Auckland, New Zealand

    Gillian Dobbie

  • Tianjin University, Tianjin, China

    Zhiyong Feng

  • Zhejiang University, Hangzhou, China

    Lu Chen

  • The University of Southern Queensland, Queensland, Australia

    Xiaohui Tao

  • Beijing University of Posts and Telecommunications, Beijing, China

    Yingxia Shao

  • The University of Queensland, Brisbane, Australia

    Hongzhi Yin

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