Advanced Data Mining and Applications

6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II

  • Longbing Cao
  • Jiang Zhong
  • Yong Feng

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6441)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6441)

Table of contents

  1. Front Matter
  2. III Data Mining Methodologies and Processes

    1. Qiang Li Zhao, Yan Huang Jiang, Ming Xu
      Pages 1-12
    2. Zhiyong Zhong, Mark Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng
      Pages 13-20
    3. Miao Zou, Tengjiao Wang, Hongyan Li, Dongqing Yang
      Pages 21-33
    4. Nhien-An Le-Khac, Martin Bue, Michael Whelan, M-Tahar Kechadi
      Pages 43-54
    5. Diana Domańska, Marek Wojtylak
      Pages 55-62
    6. Jiangtao Ren, Zhou Liang, Shaofeng Hu
      Pages 63-74
    7. Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu
      Pages 75-86
    8. Mohd Isa Awang, Ahmad Nazari Mohd Rose, Tutut Herawan, Mustafa Mat Deris
      Pages 87-98
    9. Yiyu Huang, Wenjing Su, Xiang Li
      Pages 99-110
    10. Hongmei Chen, Lizhen Wang, Weiyi Liu, Qing Xiao
      Pages 122-133
    11. Wenting Tu, Shiliang Sun
      Pages 142-149
    12. Somboon Anekritmongkol, M. L. Kulthon Kasamsan
      Pages 150-157
    13. B. S. Harish, D. S. Guru, S. Manjunath, R. Dinesh
      Pages 158-166
    14. Yuhong Zhang, Xuegang Hu, Yucheng Fang
      Pages 175-182
    15. Jinguo You, Lianying Jia, Jianhua Hu, Qingsong Huang, Jianqing Xi
      Pages 183-190

Other volumes

  1. 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I
  2. Advanced Data Mining and Applications
    6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II

About these proceedings


With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.


Clustering HPC adaptive algorithms bootstrap aggregating classification collaborative filtering data mining data types graphs knowledge discovery machine learning online communities pattern mining text mining visualization

Editors and affiliations

  • Longbing Cao
    • 1
  • Jiang Zhong
    • 2
  • Yong Feng
    • 2
  1. 1.Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia
  2. 2.College of Computer ScienceChongqing UniversityChongqingChina

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-17312-7
  • Online ISBN 978-3-642-17313-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book