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Advances in Knowledge Discovery and Data Mining

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

  • James Bailey
  • Latifur Khan
  • Takashi Washio
  • Gill Dobbie
  • Joshua Zhexue Huang
  • Ruili Wang

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9651)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9651)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Classification

    1. Front Matter
      Pages 1-1
    2. Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li
      Pages 3-13
    3. Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
      Pages 14-26
    4. Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Phung
      Pages 27-39
    5. Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
      Pages 40-51
    6. Yuxun Zhou, Jae Yeon Baek, Dan Li, Costas J. Spanos
      Pages 52-64
    7. Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu
      Pages 65-76
    8. Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
      Pages 77-88
    9. Agoritsa Polyzou, George Karypis
      Pages 89-101
    10. Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
      Pages 102-114
    11. Jianping Cao, Senzhang Wang, Fengcai Qiao, Hui Wang, Feiyue Wang, Philip S. Yu
      Pages 127-138
    12. Mahtab J. Fard, Sanjay Chawla, Chandan K. Reddy
      Pages 139-151
    13. Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely et al.
      Pages 152-164
    14. Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li
      Pages 177-188
  3. Feature Extraction and Pattern Mining

    1. Front Matter
      Pages 189-189
    2. Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
      Pages 203-214
    3. Fábio Pinto, Carlos Soares, João Mendes-Moreira
      Pages 215-226
    4. Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long
      Pages 239-252
    5. Amin Aghaee, Mehrdad Ghadiri, Mahdieh Soleymani Baghshah
      Pages 253-264
    6. A. Ibrahim, P. S. Sastry, Shivakumar Sastry
      Pages 265-276
    7. Aika Terada, David duVerle, Koji Tsuda
      Pages 277-289
    8. Pankaj Singh, Ashish Kulkarni, Himanshu Ojha, Vishwajeet Kumar, Ganesh Ramakrishnan
      Pages 290-303
    9. Md. Nasim Adnan, Md. Zahidul Islam
      Pages 304-315
    10. Yuan Zou, Teemu Roos
      Pages 316-327
    11. Nayyar A. Zaidi, François Petitjean, Geoffrey I. Webb
      Pages 341-353
    12. Bilong Shen, Zhaoduo Wen, Ying Zhao, Dongliang Zhou, Weimin Zheng
      Pages 354-365
  4. Graph and Network Data

    1. Front Matter
      Pages 367-367
    2. Yuxiang Zhang, Lulu Wang, Xiaoli Li, Chunjing Xiao
      Pages 395-408
    3. Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
      Pages 409-422
    4. Hongjie Zhai, Makoto Haraguchi, Yoshiaki Okubo, Etsuji Tomita
      Pages 423-435
    5. Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu
      Pages 436-448
    6. Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu
      Pages 449-460
    7. Miguel Araujo, Pedro Ribeiro, Christos Faloutsos
      Pages 461-473
  5. Applications

    1. Front Matter
      Pages 475-475
    2. Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi et al.
      Pages 477-488
    3. Manish Gupta, Prashant Gupta, Pravin K. Vaddavalli, Asra Fatima
      Pages 489-501
    4. Yunhui Guo, Xin Wang, Congfu Xu
      Pages 502-513
    5. Sunhwan Lee, Anca Chandra, Divyesh Jadav
      Pages 514-526
    6. Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
      Pages 527-539
    7. Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen
      Pages 540-551
    8. Jihed Khiari, Luis Moreira-Matias, Vitor Cerqueira, Oded Cats
      Pages 552-564
    9. Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong
      Pages 565-577

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 I
  2. 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II
  3. 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

  • James Bailey
    • 1
  • Latifur Khan
    • 2
  • Takashi Washio
    • 3
  • Gill Dobbie
    • 4
  • Joshua Zhexue Huang
    • 5
  • Ruili Wang
    • 6
  1. 1.The University of MelbourneMelbourneAustralia
  2. 2.The University of Texas at DallasRichardsonUSA
  3. 3.Osaka UniversityOsakaJapan
  4. 4.University of AucklandAucklandNew Zealand
  5. 5.Shenzhen UniversityShenzhenChina
  6. 6.Massey UniversityAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-31753-3
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-31752-6
  • Online ISBN 978-3-319-31753-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site