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
    15. Zhihong Deng, Xiaoran Xu
      Pages 214-225
    16. Yong Feng, Xianyong Chen, Zhen Chen
      Pages 238-245
    17. Baoguo Yang, Yang Zhang
      Pages 246-253
    18. R . Vishnu Priya, A. Vadivel, R. S. Thakur
      Pages 254-261
    19. Meng Fang, Shuliang Wang, Hong Jin
      Pages 262-269
    20. I. Mendialdua, B. Sierra, E. Lazkano, I. Irigoien, E. Jauregi
      Pages 270-277
    21. Qingjiu Zhang, Shiliang Sun
      Pages 278-285
    22. Min Qian, Li-Jie Pu, Rong Fu, Ming Zhu
      Pages 286-293
    23. Jiang Zhong, Longhai Liu, Zhiguo Li
      Pages 302-309
  3. Data Mining in Specific Areas

    1. Hao Wang, Alvin Chin
      Pages 310-321
    2. Wenhao Huang, Zhengbin Dong, Nan Zhao, Hao Tian, Guojie Song, Guanhua Chen et al.
      Pages 346-357
    3. Puteri N. E. Nohuddin, Rob Christley, Frans Coenen, Yogesh Patel, Christian Setzkorn, Shane Williams
      Pages 358-369
    4. Keita Emura, Atsuko Miyaji, Mohammad Shahriar Rahman
      Pages 370-382
    5. HaiMing Zhang, YuanChun Zhou, JianHui Li, XueZhi Wang, BaoPing Yan
      Pages 383-393
    6. Mi Sug Gu, Jeong Hee Hwang, Keun Ho Ryu
      Pages 417-428
    7. Atsuko Miyaji, Mohammad Shahriar Rahman
      Pages 429-440
    8. Yitong Wang, Xiaofei Chen, Xiaojun Feng
      Pages 453-464
    9. François Poulet, Nguyen-Khang Pham
      Pages 465-476
    10. Lizhen Wang, Hongmei Chen, Lihong Zhao, Lihua Zhou
      Pages 477-488
    11. Zalizah Awang Long, Azuraliza Abu Bakar, Abdul Razak Hamdan, Mazrura Sahani
      Pages 489-496
    12. Ke-Bing Zhang, Mehmet A. Orgun, Peter A. Busch, Abhaya C. Nayak
      Pages 497-508
    13. Shuang Wang, Guoren Wang, Jitong Chen
      Pages 509-520
    14. Feng Ji, Xipeng Qiu, Xuanjing Huang
      Pages 521-528

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

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