Advanced Data Mining and Applications

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

  • Longbing Cao
  • Yong Feng
  • Jiang Zhong
Conference proceedings ADMA 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6440)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6440)

Table of contents

  1. Front Matter
  2. Data Mining Foundations

    1. Zhenxing Qin, Chengqi Zhang, Tao Wang, Shichao Zhang
      Pages 1-11
    2. Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain
      Pages 24-35
    3. Russel Pears, Yun Sing Koh, Gillian Dobbie
      Pages 36-47
    4. Santhana Chaimontree, Katie Atkinson, Frans Coenen
      Pages 48-59
    5. Muhammad Muzammal, Rajeev Raman
      Pages 60-72
    6. Marie Ndiaye, Cheikh T. Diop, Arnaud Giacometti, Patrick Marcel, Arnaud Soulet
      Pages 73-85
    7. Anestis Gkanogiannis, Theodore Kalamboukis
      Pages 86-97
    8. Yixiong Chen, Zhongfu Wu, Zhiguo Li, Yixing Zhang
      Pages 98-105
    9. Mohd Shamrie Sainin, Rayner Alfred
      Pages 114-124
    10. Stephanie Chua, Frans Coenen, Grant Malcolm
      Pages 125-136
    11. Muhammad Marwan Muhammad Fuad, Pierre-François Marteau
      Pages 137-148
    12. Djoko Budiyanto Setyohadi, Azuraliza Abu Bakar, Zulaiha Ali Othman
      Pages 161-168
    13. Azuraliza Abu Bakar, Almahdi Mohammed Ahmed, Abdul Razak Hamdan
      Pages 193-201
    14. Gholamreza Esfandani, Hassan Abolhassani
      Pages 202-213

Other volumes

  1. Advanced Data Mining and Applications
    6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I
  2. 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 classification data mining data types graphs knowledge discovery machine learning online communities pattern mining sensor data sequences spatial datasets web mining

Editors and affiliations

  • Longbing Cao
    • 1
  • Yong Feng
    • 2
  • Jiang Zhong
    • 3
  1. 1.Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia
  2. 2.College of Computer ScienceChongqing UniversityChongqingChina
  3. 3.College of Computer ScienceChongqing University ChongqingChina

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-17315-8
  • Online ISBN 978-3-642-17316-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site