Advances in Knowledge Discovery and Data Mining

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

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8443)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8443)

Table of contents

  1. Front Matter
  2. Pattern Mining

    1. Hing-Hao Mao, Chung-Jung Wu, Evangelos E. Papalexakis, Christos Faloutsos, Kuo-Chen Lee, Tien-Cheu Kao
      Pages 1-14
    2. M. Kumara Swamy, P. Krishna Reddy, Somya Srivastava
      Pages 15-27
    3. Arnaud Soulet, François Rioult
      Pages 28-39
    4. Philippe Fournier-Viger, Antonio Gomariz, Manuel Campos, Rincy Thomas
      Pages 40-52
  3. Social Network and Social Media

    1. Arnaud Giacometti, Dominique H. Li, Arnaud Soulet
      Pages 53-64
    2. Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi
      Pages 65-77
    3. Siyuan Liu, Shuhui Wang, Ramayya Krishnan
      Pages 78-89
    4. Fang Zhang, Jun Luo, Chao Li, Xin Wang, Zhongying Zhao
      Pages 90-101
    5. Defu Lian, Yin Zhu, Xing Xie, Enhong Chen
      Pages 102-113
    6. Jianguang Du, Dandan Song, Lejian Liao, Xin Li, Li Liu, Guoqiang Li et al.
      Pages 114-125
    7. Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
      Pages 126-138
    8. Anton Slutsky, Xiaohua Hu, Yuan An
      Pages 151-162
    9. Peifeng Yin, Nilam Ram, Wang-Chien Lee, Conrad Tucker, Shashank Khandelwal, Marcel Salathé
      Pages 163-175
    10. Ming-Chu Chen, Hung-Yu Kao
      Pages 176-187
  4. Classification

    1. Josif Grabocka, Erind Bedalli, Lars Schmidt-Thieme
      Pages 188-199
    2. Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu
      Pages 200-211
    3. Sori Kang, Kotagiri Ramamohanarao
      Pages 212-223
    4. Henrik Linusson, Ulf Johansson, Tuve Löfström
      Pages 224-236

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I
  2. 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


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.


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

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-06607-3
  • Online ISBN 978-3-319-06608-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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