Table of contents

  1. Front Matter
  2. Keynotes

  3. Regular Papers

    1. Kerstin Bischoff, Claudiu S. Firan, Cristina Kadar, Wolfgang Nejdl, Raluca Paiu
      Pages 31-42
    2. Kerstin Bischoff, Claudiu S. Firan, Mihai Georgescu, Wolfgang Nejdl, Raluca Paiu
      Pages 43-54
    3. Hanen Brahmi, Tarek Hamrouni, Riadh Ben Messaoud, Sadok Ben Yahia
      Pages 55-66
    4. Hanxiong Chen, Jianquan Liu, Kazutaka Furuse, Jeffrey Xu Yu, Nobuo Ohbo
      Pages 67-78
    5. Jianwei Cui, Pei Li, Hongyan Liu, Jun He, Xiaoyong Du
      Pages 91-103
    6. Zhengbin Dong, Wenjie Wu, Xiujun Ma, Kunqing Xie, Fengjun Jin
      Pages 104-115
    7. Lei Duan, Changjie Tang, Liang Tang, Tianqing Zhang, Jie Zuo
      Pages 116-127
    8. Haytham Elghazel, Khalid Benabdeslem, Hamamache Kheddouci
      Pages 128-139
    9. Shi Feng, Daling Wang, Ge Yu, Chao Yang, Nan Yang
      Pages 140-151
    10. Yan Gao, Ming Yang, Alok Choudhary
      Pages 152-164
    11. Chuangguang Huang, Jian Yin, Jing Wang, Lirong Zheng
      Pages 165-174
    12. Xu Jia, Yuanzhe Cai, Hongyan Liu, Jun He, Xiaoyong Du
      Pages 175-187

About these proceedings

Introduction

This volume contains the proceedings of the International Conference on Advanced Data Mining and Applications (ADMA 2009), held in Beijing, China, during August 17–19, 2009. We are pleased to have a very strong program. Acceptance into the conference proceedings was extremely competitive. From the 322 submissions from 27 countries and regions, the Program Committee selected 34 full papers and 47 short papers for presentation at the conference and inclusion in the proceedings. The c- tributed papers cover a wide range of data mining topics and a diverse spectrum of interesting applications. The Program Committee worked very hard to select these papers through a rigorous review process and extensive discussion, and finally c- posed a diverse and exciting program for ADMA 2009. An important feature of the main program was the truly outstanding keynote spe- ers program. Edward Y. Chang, Director of Research, Google China, gave a talk titled "Confucius and 'Its' Intelligent Disciples". Being right in the forefront of data mining applications to the world's largest knowledge and data base, the Web, Dr. Chang - scribed how Google's Knowledge Search product help to improve the scalability of machine learning for Web-scale applications. Charles X. Ling, a seasoned researcher in data mining from the University of Western Ontario, Canada, talked about his in- vative applications of data mining and artificial intelligence to gifted child education.

Keywords

Clustering classification cluster analysis collaborative filtering crawling data mining ensemble classification knowledge discovery machine learning multi-dimensional search self-organizing self-organizing map visualization web mining

Editors and affiliations

  • Ronghuai Huang
    • 1
  • Qiang Yang
    • 2
  • Jian Pei
    • 3
  • João Gama
    • 4
  • Xiaofeng Meng
    • 5
  • Xue Li
    • 6
  1. 1.Knowledge Science & Engineering Institute, School of Education TechnologyBeijing Normal UniversityBeijingChina
  2. 2.The Hong Kong University of Science and Technology, Clear Water Bay,Hong KongHong Kong
  3. 3.School of Computing ScienceSimon Fraser UniversityBurnabyCanada
  4. 4.Faculty of EconomicsUniversity of PortoPortoPortugal
  5. 5.School of Information, ZhongguancumRenmin UniversityBeijingChina
  6. 6.School of Information Technology and Electrical EngineeringThe University of QueenslandSt. LuciaAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03348-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03347-6
  • Online ISBN 978-3-642-03348-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book