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Database Systems for Advanced Applications

DASFAA 2017 International Workshops: BDMS, BDQM, SeCoP, and DMMOOC, Suzhou, China, March 27-30, 2017, Proceedings

  • Zhifeng Bao
  • Goce Trajcevski
  • Lijun Chang
  • Wen Hua
Conference proceedings DASFAA 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10179)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10179)

Table of contents

  1. Front Matter
    Pages I-XIV
    PDF

  2. BDMS

    1. Front Matter
      Pages 1-1
      PDF
    2. Automatically Classify Chinese Judgment Documents Utilizing Machine Learning Algorithms
      Miaomiao Lei, Jidong Ge, Zhongjin Li, Chuanyi Li, Yemao Zhou, Xiaoyu Zhou et al.
      Pages 3-17
    3. A Partitioning Scheme for Big Dynamic Trees
      Atsushi Sudoh, Tatsuo Tsuji, Ken Higuchi
      Pages 18-34
    4. Optimization Factor Analysis of Large-Scale Join Queries on Different Platforms
      Chao Yang, Qian Wang, Qing Yang, Huibing Zhang, Jingwei Zhang, Ya Zhou
      Pages 35-46
    5. Which Mapping Service Should We Select in China?
      Detian Zhang, Jia-ao Wang, Fei Chen
      Pages 47-59
    6. An Online Prediction Framework for Dynamic Service-Generated QoS Big Data
      Jianlong Xu, Changsheng Zhu, Qi Xie
      Pages 60-74
    7. Discovering Interesting Co-location Patterns Interactively Using Ontologies
      Xuguang Bao, Lizhen Wang
      Pages 75-89
    8. LFLogging: A Latch-Free Logging Scheme for PCM-Based Big Data Management Systems
      Wenqiang Wang, Peiquan Jin, Shouhong Wan, Lihua Yue
      Pages 90-102
    9. RTMatch: Real-Time Location Prediction Based on Trajectory Pattern Matching
      Dong Zhenjiang, Deng Jia, Jiang Xiaohui, Wang Yongli
      Pages 103-117
    10. Online Formation of Large Tree-Structured Team
      Cheng Ding, Fan Xia, Gopakumar, Weining Qian, Aoying Zhou
      Pages 118-132
    11. Cell-Based DBSCAN Algorithm Using Minimum Bounding Rectangle Criteria
      Tatsuhiro Sakai, Keiichi Tamura, Hajime Kitakami
      Pages 133-144
    12. Time-Aware and Topic-Based Reviewer Assignment
      Hongwei Peng, Haojie Hu, Keqiang Wang, Xiaoling Wang
      Pages 145-157
    13. Adaptive Bayesian Network Structure Learning from Big Datasets
      Yan Tang, Qidong Zhang, Huaxin Liu, Wangsong Wang
      Pages 158-168
    14. A Novel Approach for Author Name Disambiguation Using Ranking Confidence
      Xueqin Lin, Jia Zhu, Yong Tang, Fen Yang, Bo Peng, Weiling Li
      Pages 169-182

  3. BDQM

    1. Front Matter
      Pages 183-183
      PDF
    2. Capture Missing Values with Inference on Knowledge Base
      Zhixin Qi, Hongzhi Wang, Fanshan Meng, Jianzhong Li, Hong Gao
      Pages 185-194
    3. Weakly-Supervised Named Entity Extraction Using Word Representations
      Kejun Deng, Dongsheng Wang, Junfei Liu
      Pages 195-203
    4. RDF Data Assessment Based on Metrics and Improved PageRank Algorithm
      Kai Wei, Pingfang Tian, Jinguang Gu, Li Huang
      Pages 204-212
    5. Efficient Web-Based Data Imputation with Graph Model
      Yiwen Tang, Hongzhi Wang, Shiwei Zhang, Huijun Zhang, Ruoxi Shi
      Pages 213-226
    6. A New Schema Design Method for Multi-tenant Database
      Yaoqiang Xu, Jiacai Ni
      Pages 227-240

  4. SeCoP

    1. Front Matter
      Pages 241-241
      PDF
    2. Reader’s Choice
      Sayar Kumar Dey, Günter Fahrnberger
      Pages 243-255
    3. Accelerating Convolutional Neural Networks Using Fine-Tuned Backpropagation Progress
      Yulong Li, Zhenhong Chen, Yi Cai, Dongping Huang, Qing Li
      Pages 256-266
    4. A Personalized Learning Strategy Recommendation Approach for Programming Learning
      Peipei Gu, Junxia Ma, Wei Chen, Lujuan Deng, Lan Jiang
      Pages 267-274
    5. Wikipedia Based Short Text Classification Method
      Junze Li, Yi Cai, Zhiwei Cai, Hofung Leung, Kai Yang
      Pages 275-286
    6. An Efficient Boolean Expression Index by Compression
      Jin Tao, Chenxi Zhang, Weixiong Rao
      Pages 287-300

  5. DMMOOC

    1. Front Matter
      Pages 301-301
      PDF
    2. MOOCon: A Framework for Semi-supervised Concept Extraction from MOOC Content
      Zhuoxuan Jiang, Yan Zhang, Xiaoming Li
      Pages 303-315
    3. What Decides the Dropout in MOOCs?
      Xiaohang Lu, Shengqing Wang, Junjie Huang, Wenguang Chen, Zengwang Yan
      Pages 316-327
    4. Exploring N-gram Features in Clickstream Data for MOOC Learning Achievement Prediction
      Xiao Li, Ting Wang, Huaimin Wang
      Pages 328-339
    5. Predicting Student Examinee Rate in Massive Open Online Courses
      Wei Lu, Tongtong Wang, Min Jiao, Xiaoying Zhang, Shan Wang, Xiaoyong Du et al.
      Pages 340-351
    6. Task Assignment of Peer Grading in MOOCs
      Yong Han, Wenjun Wu, Yanjun Pu
      Pages 352-363
    7. Predicting Honors Student Performance Using RBFNN and PCA Method
      Moke Xu, Yu Liang, Wenjun Wu
      Pages 364-375
    8. DKG: An Expanded Knowledge Base for Online Course
      Haimeng Duan, Yuanhao Zheng, Lei Shi, Changhong Jin, Hongwei Zeng, Jun Liu
      Pages 376-386
    9. Towards Economic Models for MOOC Pricing Strategy Design
      Yongzheng Jia, Zhengyang Song, Xiaolan Bai, Wei Xu
      Pages 387-398
    10. Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study
      Yao Lu, Xinjun Mao, Gang Yin, Tao Wang, Yu Bai
      Pages 399-410
    11. A Method of Constructing the Mapping Knowledge Domains in Chinese Based on the MOOCs
      Zhengzhou Zhu, Yang Li, Youming Zhang, Zhonghai Wu
      Pages 411-416
    12. Social Friendship-Aware Courses Arrangement on MOOCs
      Yuan Liang
      Pages 417-422
    13. Quality-Aware Crowdsourcing Curriculum Recommendation in MOOCs
      Yunpeng Gao
      Pages 423-428
    14. Crowdsourcing Based Teaching Assistant Arrangement for MOOC
      Dezhi Sun, Bo Liu
      Pages 429-435
    15. Quantitative Analysis of Learning Data in a Programming Course
      Yu Bai, Liqian Chen, Gang Yin, Xinjun Mao, Ye Deng, Tao Wang et al.
      Pages 436-441
  6. Back Matter
    Pages 443-444
    PDF

Other volumes

  1. Database Systems for Advanced Applications
    22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part I
  2. Database Systems for Advanced Applications
    22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II
  3. Database Systems for Advanced Applications
    DASFAA 2017 International Workshops: BDMS, BDQM, SeCoP, and DMMOOC, Suzhou, China, March 27-30, 2017, Proceedings

About these proceedings

Introduction

This book constitutes the workshop proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017. 
The 32 full papers and 5 short papers presented were carefully selected and reviewed from 43 submissions to the four following workshops: the 4th International Workshop  on Big Data Management and Service, BDMS 2017; the Second International Workshop on Big Data Quality Management, BDQM 2017; the 4th International Workshop on Semantic Computing and Personalization, SeCoP 2017; and the First International Workshop on Data Management and Mining on MOOCs, DMMOOC 2017.

Keywords

cloud databases data mining privacy and security in databases social data managment Web databases data warehousing database integration database performance database tuning distributed databases graph databases knowledge discovery mobile databases multimedia databases query processing spatial data processing and management stream and sensor data management temporal data uncertain and probabilistic databases

Editors and affiliations

  • Zhifeng Bao
    • 1
  • Goce Trajcevski
    • 2
  • Lijun Chang
    • 3
  • Wen Hua
    • 4
  1. 1.Royal Melbourne Institute of Technology MelbourneAustralia
  2. 2.Northwestern University EvanstonUSA
  3. 3.University of New South Wales SydneyAustralia
  4. 4.The University of Queensland BrisbaneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-55705-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-55704-5
  • Online ISBN 978-3-319-55705-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site