Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers

  • Xiao-Li Li
  • Tru Cao
  • Ee-Peng Lim
  • Zhi-Hua Zhou
  • Tu-Bao Ho
  • David Cheung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9441)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Pattern Mining and Application of Big Data

    1. Front Matter
      Pages 1-1
    2. Wanying Ding, Yue Shang, Dae Hoon Park, Lifan Guo, Xiaohua Hu
      Pages 3-15
    3. Vinh-Trung Luu, Germain Forestier, Frédéric Fondement, Pierre-Alain Muller
      Pages 29-40
    4. Hao Chen, Xianchao Zhang, Wenxin Liang, Feng Ding
      Pages 53-65
    5. Weibin Sun, Xianchao Zhang, Wenxin Liang, Zengyou He
      Pages 66-77
    6. Pengsen Wang, Bin Wu, Xiaoming Li, Lin Wang, Bai Wang
      Pages 78-90
    7. Lin Hui, Huan-Chao Keh, Nan-Ching Huang, Chiung-Tzu Chang, Yi-Fan Yang
      Pages 113-124
    8. Phuong Hoang, Michael Hamilton, Joseph Murray, Corey Stafford, Hien Tran
      Pages 125-137
  3. Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models

    1. Front Matter
      Pages 139-139
    2. Reihaneh Rabbany, Osmar R. Zaïane
      Pages 152-163
    3. Ayako Hoshino, Hiroki Nakayama, Chihiro Ito, Kyota Kanno, Kenshi Nishimura
      Pages 164-176
    4. Marwan Hassani, Thomas Seidl
      Pages 198-209

About these proceedings

Introduction

This book constitutes the refereed proceedings at PAKDD Workshops 2015, held in conjunction with PAKDD, the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015. The 23 revised papers presented were carefully reviewed and selected from 57 submissions. The workshops affiliated with PAKDD 2015 include: Pattern Mining and Application of Big Data (BigPMA), Quality Issues, Measures of Interestingness and Evaluation of data mining models (QIMIE), Data Analytics for Evidence-based Healthcare (DAEBH), Vietnamese Language and Speech Processing (VLSP).

Keywords

big data analytics healthcare analytics data mining knowledge discovery pattern mining bioinformatics biomedical data analysis cloud computing data analytics dynamic networks genetic algorithms image analysis information retrieval language and speech processing machine learning model evaluation model quality parallel computation recommender systems social network

Editors and affiliations

  • Xiao-Li Li
    • 1
  • Tru Cao
    • 2
  • Ee-Peng Lim
    • 3
  • Zhi-Hua Zhou
    • 4
  • Tu-Bao Ho
    • 5
  • David Cheung
    • 6
  1. 1.Institute of Infocomm ResearchSingaporeSingapore
  2. 2.Ho Chi Minh City University of TechHo Chi Minh CityVietnam
  3. 3.School of Information SystemsSingapore Management UniversitySingaporeSingapore
  4. 4.Nanjing UniversityNanjingChina
  5. 5.Science & TechnologyJapan Advanced Institute ofNomi-shi, IshikawaJapan
  6. 6.The University of Hong KongHong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-25660-3
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-25659-7
  • Online ISBN 978-3-319-25660-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349