Advances in Knowledge Discovery and Data Mining

20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9652)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Spatiotemporal and Image Data

    1. Front Matter
      Pages 1-1
    2. Trang Pham, Truyen Tran, Dinh Phung, Svetha Venkatesh
      Pages 30-41
    3. Frédéric Bergeron, Kevin Bouchard, Sébastien Gaboury, Sylvain Giroux, Bruno Bouchard
      Pages 42-53
    4. Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Akihisa Kawanobe
      Pages 54-66
    5. Biwei Liang, Tengjiao Wang, Shun Li, Wei Chen, Hongyan Li, Kai Lei
      Pages 67-78
    6. Xiaodong Feng, Sen Wu, Wenjun Zhou, Zhiwei Tang
      Pages 79-91
    7. Jun Wu, Jianbo Yuan, Jiebo Luo
      Pages 92-103
    8. Shijiang Chen, Guiguang Ding, Chenxiao Li, Yuchen Guo
      Pages 104-116
    9. Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu et al.
      Pages 130-142
    10. Zubair Shah, Abdun Naser Mahmood, Michael Barlow
      Pages 168-179
  3. Anomaly Detection and Clustering

    1. Front Matter
      Pages 181-181
    2. Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie
      Pages 183-195
    3. Arnaud Giacometti, Arnaud Soulet
      Pages 196-207
    4. Girish Keshav Palshikar, Kuleshwar Sahu, Rajiv Srivastava
      Pages 208-220

Other volumes

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

About these proceedings

Introduction

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016.

The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.

Keywords

cloud-based high performance data mining cyber-security distributed data mining healthcare ubiquitous knowledge discovery agent-based data mining anomaly detection bioinformatics data mining data warehousing human factors interactive mining intrusion detection marketing OLAP opinion mining parallel data mining security social factors statistical methods

Editors and affiliations

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-31750-2
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-31749-6
  • Online ISBN 978-3-319-31750-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349