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Database Systems for Advanced Applications

21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings, Part I

  • Conference proceedings
  • © 2016

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Editors:
  1. Shamkant B. Navathe

    1. Georgia Institute of Technology, Atlanta, USA

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  2. Weili Wu

    1. University of Texas at Dallas, Richardson, USA

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  3. Shashi Shekhar

    1. University of Minnesota, Minneapolis, USA

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  4. Xiaoyong Du

    1. Renmin University, Beijing, China

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  5. X. Sean Wang

    1. Fudan University, Shanghai, China

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  6. Hui Xiong

    1. Rutgers, The State University of New Jer, New Brunswick, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9642)

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 2016.

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Table of contents (33 papers)

  1. Front Matter

    Pages I-XIX
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  2. Crowdsourcing

    1. Front Matter

      Pages 1-1
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    2. Cost Minimization and Social Fairness for Spatial Crowdsourcing Tasks

      • Qing Liu, Talel Abdessalem, Huayu Wu, Zihong Yuan, Stéphane Bressan
      Pages 3-17

    3. Crowdsourced Query Processing on Microblogs

      • Weikeng Chen, Zhou Zhao, Xinyu Wang, Wilfred Ng
      Pages 18-32

    4. Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing

      • Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jinpeng Huai
      Pages 33-48

  3. Data Quality

    1. Front Matter

      Pages 49-49
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    2. CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method

      • Jian Zhou, Zhixu Li, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang et al.
      Pages 51-66

    3. Crowdsourcing-Enhanced Missing Values Imputation Based on Bayesian Network

      • Chen Ye, Hongzhi Wang, Jianzhong Li, Hong Gao, Siyao Cheng
      Pages 67-81

    4. One-Pass Inconsistency Detection Algorithms for Big Data

      • Meifan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao
      Pages 82-98

  4. Entity Identification

    1. Front Matter

      Pages 99-99
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    2. Domain-Specific Entity Linking via Fake Named Entity Detection

      • Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yao Shi, Junpeng Li, Zhigang Wang
      Pages 101-116

    3. CTextEM: Using Consolidated Textual Data for Entity Matching

      • Qiang Yang, Zhixu Li, Binbin Gu, An Liu, Guanfeng Liu, Pengpeng Zhao et al.
      Pages 117-132

    4. Entity Matching Across Multiple Heterogeneous Data Sources

      • Chao Kong, Ming Gao, Chen Xu, Weining Qian, Aoying Zhou
      Pages 133-146

  5. Data Mining and Machine Learning

    1. Front Matter

      Pages 147-147
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    2. Probabilistic Maximal Frequent Itemset Mining Over Uncertain Databases

      • Haifeng Li, Ning Zhang
      Pages 149-163

    3. Anytime OPTICS: An Efficient Approach for Hierarchical Density-Based Clustering

      • Son T. Mai, Ira Assent, Anh Le
      Pages 164-179

    4. Efficiently Mining Homomorphic Patterns from Large Data Trees

      • Xiaoying Wu, Dimitri Theodoratos, Zhiyong Peng
      Pages 180-196

    5. CITPM: A Cluster-Based Iterative Topical Phrase Mining Framework

      • Bing Li, Bin Wang, Rui Zhou, Xiaochun Yang, Chengfei Liu
      Pages 197-213

    6. Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life

      • Giduthuri Sateesh Babu, Peilin Zhao, Xiao-Li Li
      Pages 214-228

    7. Multiple-Instance Learning with Evolutionary Instance Selection

      • Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
      Pages 229-241
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Other volumes

  1. Database Systems for Advanced Applications

  2. Database Systems for Advanced Applications

  3. Database Systems for Advanced Applications

Keywords

About this book

This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016.

The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions. The papers cover the following topics: crowdsourcing, data quality, entity identification, data mining and machine learning, recommendation, semantics computing and knowledge base, textual data, social networks, complex queries, similarity computing, graph databases, and miscellaneous, advanced applications.

Editors and Affiliations

  • Georgia Institute of Technology, Atlanta, USA

    Shamkant B. Navathe

  • University of Texas at Dallas, Richardson, USA

    Weili Wu

  • University of Minnesota, Minneapolis, USA

    Shashi Shekhar

  • Renmin University, Beijing, China

    Xiaoyong Du

  • Fudan University, Shanghai, China

    X. Sean Wang

  • Rutgers, The State University of New Jer, New Brunswick, USA

    Hui Xiong

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