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© 2014

Advances in Knowledge Discovery and Data Mining

18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II

  • Vincent S. Tseng
  • Tu Bao Ho
  • Zhi-Hua Zhou
  • Arbee L. P. Chen
  • Hung-Yu Kao
Conference proceedings PAKDD 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8444)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8444)

Table of contents

  1. Novel Algorithms

    1. Yang Wang, Xuemin Lin, Qing Zhang, Lin Wu
      Pages 234-246
    2. Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham Williams
      Pages 247-258
    3. Laurence A. F. Park, Glenn Stone
      Pages 259-270
    4. Miguel Araujo, Spiros Papadimitriou, Stephan Günnemann, Christos Faloutsos, Prithwish Basu, Ananthram Swami et al.
      Pages 271-283
  2. Clustering

    1. Xiaona Wu, Jia Zeng, Jianfeng Yan, Xiaosheng Liu
      Pages 296-310
    2. Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong
      Pages 311-323
    3. Lydia Boudjeloud-Assala, Ta Minh Thuy
      Pages 324-335
    4. Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima
      Pages 336-347
    5. Zunyan Xiong, Yizhou Zang, Xingpeng Jiang, Xiaohua Hu
      Pages 348-359
  3. Biomedical Data Mining

    1. Chih-Ping Wei, Kuei-An Chen, Lien-Chin Chen
      Pages 373-384
    2. Xiaofei Yang, Jiming Liu, William Kwok Wai Cheung, Xiao-Nong Zhou
      Pages 385-399
  4. Stream Mining

    1. Dandan Zhang, Hong Shen, Tian Hui, Yidong Li, Jun Wu, Yingpeng Sang
      Pages 413-424
    2. David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
      Pages 437-448
    3. Huizhi Liang, Yanzhe Wang, Peter Christen, Ross Gayler
      Pages 449-460
    4. Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan
      Pages 461-473
  5. Outlier and Anomaly Detection

Other volumes

  1. 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II
  3. PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers

About these proceedings

Introduction

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

Keywords

Web and social media search clustering and classification data streaming machine learning neural networks probabilistic reasoning recommender systems social networks supervised learning text classification

Editors and affiliations

  • Vincent S. Tseng
    • 1
  • Tu Bao Ho
    • 2
  • Zhi-Hua Zhou
    • 3
  • Arbee L. P. Chen
    • 4
  • Hung-Yu Kao
    • 1
  1. 1.National Cheng Kung UniversityTainanR.O.C.
  2. 2.Japan Advanced Institute of Science and TechnologyNomiJapan
  3. 3.Nanjing UniversityChina
  4. 4.National Chengchi UniversityTaipeiR.O.C.

Bibliographic information

  • Book Title Advances in Knowledge Discovery and Data Mining
  • Book Subtitle 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II
  • Editors Vincent S. Tseng
    Tu Bao Ho
    Zhi-Hua Zhou
    Arbee L.P. Chen
    Hung-Yu Kao
  • Series Title Lecture Notes in Computer Science
  • DOI https://doi.org/10.1007/978-3-319-06605-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-319-06604-2
  • eBook ISBN 978-3-319-06605-9
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XXX, 624
  • Number of Illustrations 170 b/w illustrations, 0 illustrations in colour
  • Topics Data Mining and Knowledge Discovery
    Artificial Intelligence
    Information Storage and Retrieval
  • Buy this book on publisher's site