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Database Systems for Advanced Applications

25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part II

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Yunmook Nah

    1. Dankook University, Yongin, Korea (Republic of)

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  2. Bin Cui

    1. Peking University, Haidian, China

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  3. Sang-Won Lee

    1. Sungkyunkwan University, Suwon, Korea (Republic of)

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  4. Jeffrey Xu Yu

    1. Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong

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  5. Yang-Sae Moon

    1. Kangwon National University, Chunchon, Korea (Republic of)

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  6. Steven Euijong Whang

    1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12113)

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 2020.

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Data Mining

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. EPARS: Early Prediction of At-Risk Students with Online and Offline Learning Behaviors

      • Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou
      Pages 3-19

    3. MRMRP: Multi-source Review-Based Model for Rating Prediction

      • Xiaochen Wang, Tingsong Xiao, Jie Tan, Deqiang Ouyang, Jie Shao
      Pages 20-35

    4. Discovering Real-Time Reachable Area Using Trajectory Connections

      • Ruiyuan Li, Jie Bao, Huajun He, Sijie Ruan, Tianfu He, Liang Hong et al.
      Pages 36-53

    5. Few-Shot Human Activity Recognition on Noisy Wearable Sensor Data

      • Shizhuo Deng, Wen Hua, Botao Wang, Guoren Wang, Xiaofang Zhou
      Pages 54-72

    6. Adversarial Generation of Target Review for Rating Prediction

      • Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu
      Pages 73-89

    7. Hybrid Attention Based Neural Architecture for Text Semantics Similarity Measurement

      • Kaixin Liu, Yong Zhang, Chunxiao Xing
      Pages 90-106

    8. Instance Explainable Multi-instance Learning for ROI of Various Data

      • Xu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing
      Pages 107-124

    9. Anomaly Detection in High-Dimensional Data Based on Autoregressive Flow

      • Yanwei Yu, Peng Lv, Xiangrong Tong, Junyu Dong
      Pages 125-140

    10. Fine-Grained Entity Typing for Relation-Sparsity Entities

      • Lei Niu, Binbin Gu, Zhixu Li, Wei Chen, Ying He, Zhaoyin Zhang et al.
      Pages 141-157

    11. Progressive Term Frequency Analysis on Large Text Collections

      • Yazhong Zhang, Hanbing Zhang, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang
      Pages 158-174

    12. Learning a Cost-Effective Strategy on Incomplete Medical Data

      • Mengxiao Zhu, Haogang Zhu
      Pages 175-191

    13. Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction

      • Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
      Pages 192-208

    14. Incorporating Boundary and Category Feature for Nested Named Entity Recognition

      • Jin Cao, Guohua Wang, Canguang Li, Haopeng Ren, Yi Cai, Raymond Chi-Wing Wong et al.
      Pages 209-226

    15. Incorporating Concept Information into Term Weighting Schemes for Topic Models

      • Huakui Zhang, Yi Cai, Bingshan Zhu, Changmeng Zheng, Kai Yang, Raymond Chi-Wing Wong et al.
      Pages 227-244

    16. How to Generate Reasonable Texts with Controlled Attributes

      • Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang
      Pages 245-262

    17. Keep You from Leaving: Churn Prediction in Online Games

      • Angyu Zheng, Liang Chen, Fenfang Xie, Jianrong Tao, Changjie Fan, Zibin Zheng
      Pages 263-279

    18. Point-of-Interest Demand Discovery Using Semantic Trajectories

      • Ying Jin, Guojie Ma, Shiyu Yang, Long Yuan
      Pages 280-296

    19. Learning from Heterogeneous Student Behaviors for Multiple Prediction Tasks

      • Haobing Liu, Yanmin Zhu, Yanan Xu
      Pages 297-313
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Other volumes

  1. Database Systems for Advanced Applications

  2. Database Systems for Advanced Applications

  3. Database Systems for Advanced Applications

  4. Database Systems for Advanced Applications. DASFAA 2020 International Workshops

Keywords

About this book

The 4 volume set LNCS 12112-12114 constitutes the papers of the 25th International Conference on Database Systems for Advanced Applications which will be held online in September 2020.

The 119 full papers presented together with 19 short papers plus 15 demo papers and 4 industrial papers in this volume were carefully reviewed and selected from a total of 487 submissions.

The conference program presents the state-of-the-art R&D activities in database systems and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry.

Editors and Affiliations

  • Dankook University, Yongin, Korea (Republic of)

    Yunmook Nah

  • Peking University, Haidian, China

    Bin Cui

  • Sungkyunkwan University, Suwon, Korea (Republic of)

    Sang-Won Lee

  • Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong

    Jeffrey Xu Yu

  • Kangwon National University, Chunchon, Korea (Republic of)

    Yang-Sae Moon

  • Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Steven Euijong Whang

Bibliographic Information

  • Book Title: Database Systems for Advanced Applications

  • Book Subtitle: 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part II

  • Editors: Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-59416-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-59415-2Published: 22 September 2020

  • eBook ISBN: 978-3-030-59416-9Published: 21 September 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXI, 769

  • Number of Illustrations: 86 b/w illustrations, 189 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery

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