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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 II

  • 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 9652)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, 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
    5. Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata
      Pages 221-232
    6. Tian Huang, Yongxin Zhu, Yishu Mao, Xinyang Li, Mengyun Liu, Yafei Wu et al.
      Pages 233-244
    7. Yuxiao Zhang, Xiaorong Wang, Bingyang Li, Wei Chen, Tengjiao Wang, Kai Lei
      Pages 245-256
    8. Haolin Yang, Deli Zhao, Lele Cao, Fuchun Sun
      Pages 257-270
    9. Xianchao Zhang, Lu Gao, Hong Yu
      Pages 271-282
    10. Qing Wang, Jingyi Gao, Peter Christen
      Pages 283-295
    11. Johannes Blömer, Kathrin Bujna
      Pages 296-308
  4. Novel Models and Algorithms

    1. Front Matter
      Pages 323-323
    2. Hailun Lin, Yuanzhuo Wang, Peng Zhang, Weiping Wang, Yinliang Yue, Zheng Lin
      Pages 325-337
    3. Jeffrey Fisher, Peter Christen, Qing Wang
      Pages 338-349
    4. Yan Zhou, Murat Kantarcioglu
      Pages 350-362
    5. Yuqing Sun, Haiqi Sun, Reynold Cheng
      Pages 363-375
    6. Bryan Hooi, Hyun Ah Song, Evangelos Papalexakis, Rakesh Agrawal, Christos Faloutsos
      Pages 376-387
    7. Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
      Pages 388-400
    8. Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen, Vassilios Verykios
      Pages 415-427
  5. Text Mining and Recommender Systems

    1. Front Matter
      Pages 429-429
    2. Khai Mai, Sang Mai, Anh Nguyen, Ngo Van Linh, Khoat Than
      Pages 431-442
    3. Hai-Tao Zheng, Ji-Min Guo, Yong Jiang, Shu-Tao Xia
      Pages 443-453
    4. Arpita Das, Manish Shrivastava, Manoj Chinnakotla
      Pages 454-465
    5. Daxin Zhu, Yingjie Wu, Xiaodong Wang
      Pages 466-477
    6. Chia-Hui Chang, Tian-Sheng Chen, Ming-Chuan Chen, Jhung-Li Ding
      Pages 478-490
    7. Chia-Hsin Ting, Hung-Yi Lo, Shou-De Lin
      Pages 491-502
    8. Xin Guan, Chang-Tsun Li, Yu Guan
      Pages 503-514
    9. Chunfeng Yang, Yipeng Zhou, Liang Chen, Xiaopeng Zhang, Dah Ming Chiu
      Pages 515-527
    10. Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee
      Pages 528-541
    11. Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu
      Pages 542-554
    12. Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu
      Pages 555-567
  6. Back Matter
    Pages 569-572

Other volumes

  1. 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    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/10.1007/978-3-319-31750-2
  • 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
  • Buy this book on publisher's site
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