Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers

  • Huiping Cao
  • Jinyan Li
  • Ruili Wang

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9794)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9794)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Biologically Inspired Data Mining Techniques (BDM)

    1. Front Matter
      Pages 1-1
    2. Truyen Tran, Dinh Phung, Svetha Venkatesh
      Pages 15-25
    3. Rami M. Mohammad, Fadi Thabtah, Lee McCluskey
      Pages 35-47
    4. Yulin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang
      Pages 48-60
    5. Mir Md. Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao
      Pages 61-72
  3. Machine Learning for Sensory Data Analysis (MLSDA)

    1. Front Matter
      Pages 73-73
    2. Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian Lovell, Conrad Sanderson
      Pages 88-100
    3. Linbo Qiao, Bofeng Zhang, Yipin Sun, Jinshu Su
      Pages 101-114
    4. Johanna Carvajal, Chris McCool, Brian Lovell, Conrad Sanderson
      Pages 115-127
    5. Se Yeong Jeong, Yun Sing Koh, Gillian Dobbie
      Pages 141-153
    6. Xianbin Gu, Martin Purvis
      Pages 154-165
  4. Predictive Analytics for Critical Care (PACC)

    1. Front Matter
      Pages 167-167
    2. Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Raymond K. Wong, Athanasios V. Vasilakos
      Pages 169-180
    3. Lina Fu, Faming Li, Jing Zhou, Xuejin Wen, Jinhui Yao, Michael Shepherd
      Pages 181-189
    4. Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek
      Pages 190-199

Other volumes

  1. 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II
  2. Trends and Applications in Knowledge Discovery and Data Mining
    PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016.

The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.

Keywords

data mining kernel methods neural networks social recommendation Web mining association rules authentication clustering design and analysis of algorithms e-commerce evolutionary learning factorization methods feature selection healthcare analytics machine learning approaches optimization method pattern discovery semi-supervised learning supervised learning by classification

Editors and affiliations

  • Huiping Cao
    • 1
  • Jinyan Li
    • 2
  • Ruili Wang
    • 3
  1. 1.New Mexico State University Las CrucesUSA
  2. 2.University of Technology Sydney SydneyAustralia
  3. 3.Massey University AucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-42996-0
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-42995-3
  • Online ISBN 978-3-319-42996-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book