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Link to original content: http://link.springer.com/book/10.1007/978-3-030-18590-9
Database Systems for Advanced Applications: DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings | SpringerLink
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Database Systems for Advanced Applications

DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Guoliang Li

    1. Tsinghua University, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Jun Yang

    1. Duke University, Durham, USA

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  3. Joao Gama

    1. University of Porto, Porto, Portugal

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  4. Juggapong Natwichai

    1. Chiang Mai University, Chiang Mai, Thailand

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    You can also search for this editor in PubMed   Google Scholar

  5. Yongxin Tong

    1. Beihang University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11448)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: DASFAA 2019.

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About this book

This book constitutes the workshop proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019.

The 14 full papers presented were carefully selected and reviewed from 26 submissions to the three following workshops: the 6th International Workshop on Big Data Management and Service, BDMS 2019; the 4th International Workshop on Big Data Quality Management, BDQM 2019; and the Third International Workshop on Graph Data Management and Analysis, GDMA 2019. This volume also includes the short papers, demo papers, and tutorial papers of the main conference DASFAA 2019.


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Table of contents (91 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. The 6th International Workshop on Big Data Management and Service (BDMS 2019)

    1. Front Matter

      Pages 1-1
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    2. A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents

      • Lei Li, Kun Yue, Binbin Zhang, Zhengbao Sun
      Pages 3-18

    3. UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression

      • Kun Liu, Wenyan Liu, Junhong Cheng, Xingjian Lu
      Pages 19-33

    4. Meta-path Based MiRNA-Disease Association Prediction

      • Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu Wei
      Pages 34-48

    5. Medical Question Retrieval Based on Siamese Neural Network and Transfer Learning Method

      • Kun Wang, Bite Yang, Guohai Xu, Xiaofeng He
      Pages 49-64

    6. An Adaptive Kalman Filter Based Ocean Wave Prediction Model Using Motion Reference Unit Data

      • Yan Tang, Zequan Guo, Yin Wu
      Pages 65-79

    7. ASLM: Adaptive Single Layer Model for Learned Index

      • Xin Li, Jingdong Li, Xiaoling Wang
      Pages 80-95

    8. SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning

      • Wenhao Li, Bo Jin, Xiangfeng Wang
      Pages 96-110

  3. The 4th International Workshop on Big Data Quality Management (BDQM 2019)

    1. Front Matter

      Pages 111-111
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    2. Identifying Reference Relationship of Desktop Files Based on Access Logs

      • Yukun Li, Xun Zhang, Jie Li, Yuan Wang, Degan Zhang
      Pages 113-127

    3. Visualization of Photo Album: Selecting a Representative Photo of a Specific Event

      • Yukun Li, Ming Geng, Fenglian Liu, Degan Zhang
      Pages 128-141

    4. Data Quality Management in Institutional Research Output Data Center

      • Xiaohua Shi, Zhuoyuan Xing, Hongtao Lu
      Pages 142-157

    5. Generalized Bayesian Structure Learning from Noisy Datasets

      • Yan Tang, Yu Chen, Gaolong Ge
      Pages 158-169

  4. The Third International Workshop on Graph Data Management and Analysis (GDMA 2019)

    1. Front Matter

      Pages 171-171
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    2. ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering

      • Siyang Zhang, Xinhua E, Tao Huang, Fan Yang
      Pages 173-185

    3. Graph Based Aspect Extraction and Rating Classification of Customer Review Data

      • Sung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, Sungzoon Cho
      Pages 186-199

    4. Streaming Massive Electric Power Data Analysis Based on Spark Streaming

      • Xudong Zhang, Zhongwen Qian, Siqi Shen, Jia Shi, Shujun Wang
      Pages 200-212

  5. Posters

    1. Front Matter

      Pages 213-213
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    2. Deletion-Robust k-Coverage Queries

      • Xingnan Huang, Jiping Zheng
      Pages 215-219
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Other volumes

  1. Database Systems for Advanced Applications

  2. Database Systems for Advanced Applications

  3. Database Systems for Advanced Applications

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Guoliang Li

  • Duke University, Durham, USA

    Jun Yang

  • University of Porto, Porto, Portugal

    Joao Gama

  • Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

  • Beihang University, Beijing, China

    Yongxin Tong

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