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© 2013

Advanced Data Mining and Applications

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

  • 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 8347)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8347)

Table of contents

  1. Front Matter
  2. Clustering

    1. Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang
      Pages 1-12
    2. Yubo Wang, Linli Xu, Yucheng Chen, Hao Wang
      Pages 13-24
    3. Xiujun Wang, Xiao Zheng, Feng Qin, Baohua Zhao
      Pages 25-33
    4. Sanguthevar Rajasekaran, Subrata Saha
      Pages 34-46
    5. Zubair Shah, Rashid Naseem, Mehmet A. Orgun, Abdun Mahmood, Sara Shahzad
      Pages 47-58
    6. Zhengrong Xiang, Lichuan Ji
      Pages 59-70
    7. Chung Seng Kheau, Rayner Alfred, HuiKeng Lau
      Pages 71-82
  3. Association Rule Mining

    1. Philippe Fournier-Viger, Espérance Mwamikazi, Ted Gueniche, Usef Faghihi
      Pages 95-106
  4. Pattern Mining

    1. Xin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu
      Pages 107-119
    2. Guangyuan Wang, Hua Wang, Xiaohui Tao, Ji Zhang, Jinhua Zhang
      Pages 120-132
  5. Regression

    1. Zhen Qiu, Hongyan Li, Hanchen Su, Gaoyan Ou, Tengjiao Wang
      Pages 133-144
  6. Prediction

    1. Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie
      Pages 165-176
    2. Ted Gueniche, Philippe Fournier-Viger, Vincent S. Tseng
      Pages 177-188

Other volumes

  1. 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
  2. Advanced Data Mining and Applications
    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 Science, EdmontonUniversity of AlbertaCanada
  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 II
  • Editors Hiroshi Motoda
    Zhaohui Wu
    Longbing Cao
    Osmar Zaiane
    Min Yao
    Wei Wang
  • Series Title Lecture Notes in Computer Science
  • DOI https://doi.org/10.1007/978-3-642-53917-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-642-53916-9
  • eBook ISBN 978-3-642-53917-6
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XXII, 538
  • Number of Illustrations 163 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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