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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. Outlier and Anomaly Detection

    1. Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Lianhang Ma
      Pages 498-509
    2. Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio
      Pages 510-521
  2. Multi-Sources Mining

    1. Shaofeng Hu, Jiangtao Ren, Changshui Zhang, Chaogui Zhang
      Pages 522-533
    2. Chen Luo, Wei Pang, Zhe Wang
      Pages 548-559
    3. Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin
      Pages 560-571
  3. Unstructured Data and Text Mining

    1. Minoru Yoshida, Kazuyuki Matsumoto, Kenji Kita, Hiroshi Nakagawa
      Pages 572-583
    2. Wei Jiang, Haibin Ruan, Li Zhang, Philip Lew, Jing Jiang
      Pages 584-595
    3. Yi Shen, Jianjun Yu, Kejun Dong, Kai Nan
      Pages 596-607
    4. Wei Wang, Hua Xu, Weiwei Yang, Xiaoqiu Huang
      Pages 608-619
  4. Back Matter

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