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© 2013

Advanced Data Mining and Applications

9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I

  • Hiroshi Motoda
  • Zhaohui Wu
  • Longbing Cao
  • Osmar Zaiane
  • Min Yao
  • Wei Wang
Conference proceedings ADMA 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8346)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8346)

Table of contents

  1. Front Matter
  2. Opinion Mining

    1. Lishan Cui, Xiuzhen Zhang, Yan Wang, Lifang Wu
      Pages 1-12
    2. Zaher Salah, Frans Coenen, Davide Grossi
      Pages 13-24
    3. Hui Song, Botian Yang, Xiaoqiang Liu
      Pages 25-35
    4. Suke Li, Jinmei Hao, Yanbing Jiang, Qi Jing
      Pages 36-47
  3. Behavior Mining

    1. Jiazhen Nian, Shanshan Wang, Yan Zhang
      Pages 48-59
    2. Jamal Yousaf, Juanzi Li, Yuanchao Ma
      Pages 60-71
  4. Stream Mining

    1. David T. J. Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
      Pages 72-83
    2. Xiaokang Ji, Xiuli Ma, Ting Huang, Shiwei Tang
      Pages 84-96
    3. Minmin Zhang, Gillian Dobbie, Yun Sing Koh
      Pages 97-108
  5. Sequential Data Mining

    1. Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Espérance Mwamikazi, Rincy Thomas
      Pages 109-120
    2. Muhammad Marwan Muhammad Fuad
      Pages 121-132
    3. Hailin Li, Libin Yang
      Pages 133-144
    4. Michal Šebek, Martin Hlosta, Jaroslav Zendulka, Tomáš Hruška
      Pages 157-168
    5. Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng
      Pages 169-180
  6. Web Mining

    1. Tianyi Liang, Jiancong Fan, Jianli Zhao, Yongquan Liang, Yujun Li
      Pages 181-192
    2. Yunqing Wen, Xiang Zhang, Kai Shen, Peng Wang
      Pages 193-204
    3. Patrick Hennig, Philipp Berger, Christoph Meinel
      Pages 205-216
  7. Image Mining

    1. Rong Zhu, Jianhua Yang, Yonggang Li, Jie Xu
      Pages 217-228

Other volumes

  1. Advanced Data Mining and Applications
    9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
  2. 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II

About these proceedings

Introduction

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013.
The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

Keywords

data streams semantic web social media statistics user behavior

Editors and affiliations

  • Hiroshi Motoda
    • 1
  • Zhaohui Wu
    • 2
  • Longbing Cao
    • 3
  • Osmar Zaiane
    • 4
  • Min Yao
    • 5
  • Wei Wang
    • 6
  1. 1.US Air Force Office of Scientific ResearchTokyoJapan
  2. 2.School of Computer Science and TechnologyZhejiang UniversityHangzhouChina
  3. 3.Faculty of Engineering and Information TechnologyUniversity of TechnologySydneyAustralia
  4. 4.Department of Computing ScienceUniversity of AlbertaEdmontonCanada
  5. 5.College of Computer Science and TechnologyZhejiang UniversityHangzhouChina
  6. 6.School of Computer ScienceFudan UniversityShanghaiChina

Bibliographic information

  • Book Title Advanced Data Mining and Applications
  • Book Subtitle 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
  • Editors Hiroshi Motoda
    Zhaohui Wu
    Longbing Cao
    Osmar Zaiane
    Min Yao
    Wei Wang
  • Series Title Lecture Notes in Computer Science
  • DOI https://doi.org/10.1007/978-3-642-53914-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-642-53913-8
  • eBook ISBN 978-3-642-53914-5
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XXII, 588
  • Number of Illustrations 217 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Data Mining and Knowledge Discovery
    Information Storage and Retrieval
  • Buy this book on publisher's site
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