Advanced Data Mining and Applications

8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings

  • Shuigeng Zhou
  • Songmao Zhang
  • George Karypis
Conference proceedings ADMA 2012

DOI: 10.1007/978-3-642-35527-1

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7713)

Table of contents

  1. Front Matter
  2. Social Media Mining

    1. Dell Zhang, Karl Prior, Mark Levene, Robert Mao, Diederik van Liere
      Pages 1-14
    2. Yonghui Cong, Zengchang Qin, Jing Yu, Tao Wan
      Pages 15-26
    3. Shi Feng, Lin Wang, Weili Xu, Daling Wang, Ge Yu
      Pages 27-38
    4. Lilia Hannachi, Ounas Asfari, Nadjia Benblidia, Fadila Bentayeb, Nadia Kabachi, Omar Boussaid
      Pages 39-51
  3. Clustering

    1. Xiang Li, Huaimin Wang, Gang Yin, Tao Wang, Cheng Yang, Yue Yu et al.
      Pages 64-77
    2. Yi Zhuang, Dickson K. W. Chiu, Nan Jiang, Guochang Jiang, Zhiang Wu
      Pages 78-90
    3. John Park, Xiaoying Gao, Peter Andreae
      Pages 91-99
    4. Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire
      Pages 100-114
    5. Hongjun Wang, Tao Li, Tianrui Li, Yan Yang
      Pages 115-126
    6. Lihe Song, Weixu Zhan, Shuchai Qian, Jian Yin
      Pages 127-137
    7. Li Liu, Dangping Fan, Ming Liu, Guandong Xu, Shiping Chen, Yuan Zhou et al.
      Pages 138-148
  4. Machine Learning: Algorithms and Applications

    1. Chirine Wolley, Mohamed Quafafou
      Pages 173-185
    2. Hao Shao, Bin Tong, Einoshin Suzuki
      Pages 186-198
    3. Huawen Liu, Shichao Zhang, Jianmin Zhao, Jianbin Wu, Zhonglong Zheng
      Pages 214-222
    4. Qi Tan, Huifang Deng, Pei Yang
      Pages 223-234

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012.
The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

Keywords

bio-inspired optimization data warehouse genetic algorithms semantic processing topic modeling

Editors and affiliations

  • Shuigeng Zhou
    • 1
  • Songmao Zhang
    • 2
  • George Karypis
    • 3
  1. 1.School of Computer ScienceFudan UniversityShanghaiChina
  2. 2.Chinese Academy of Sciences, Academy of Mathematics and Systems ScienceBeijingChina
  3. 3.Department of Computer Science and EngineeringUniversity of MinnesotaMinneapolisUSA

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-35526-4
  • Online ISBN 978-3-642-35527-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349