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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
  3. IV Data Mining Applications and Systems

    1. Zhonghui Wang, Zhihong Deng
      Pages 191-201
    2. Silong Zhang, Guojin He
      Pages 202-209
    3. Bingquan Huang, T. Satoh, Y. Huang, M. -T. Kechadi, B. Buckley
      Pages 210-220
    4. Lian Yu, Lei Xu, Wei-Tek Tsai
      Pages 221-232
    5. Yan Zhang, Maosong Sun, Yang Zhang
      Pages 233-243
    6. Bin Xiao, Xiang-min Xu, Qian-pei Mai
      Pages 282-289
    7. Xuebiao Yuchi, Xiaodong Lee, Jian Jin, Baoping Yan
      Pages 290-301
    8. Xuebiao Yuchi, Xin Wang, Xiaodong Lee, Baoping Yan
      Pages 302-313
    9. Kongluan Lin, John Debenham, Simeon Simoff
      Pages 314-325
    10. T. Sato, B. Q. Huang, Y. Huang, M. -T. Kechadi, B. Buckley
      Pages 326-335
    11. Yiming Chen, Zhoujun Li, Xiaohua Hu, Junwan Liu
      Pages 336-347
    12. Zhaoxin Shu, Li Yu, Xiaoping Yang
      Pages 348-355
    13. Lian Yu, Wei-Tek Tsai, Wei Zhao, Fang Wu
      Pages 356-367
    14. Ivan Habernal, Miloslav Konopík
      Pages 376-386
    15. Xiangzhi Wang, Chunyang Liu, Guirong Xue, Yong Yu
      Pages 387-398
    16. Paweena Chaiwanarom, Ryutaro Ichise, Chidchanok Lursinsap
      Pages 399-410
    17. Zhongqi Guo, Yongqiang Wang, Gui-rong Xue, Yong Yu
      Pages 411-418
    18. Quanjie Qiu, Zhiguo Li, Zhongfu Wu
      Pages 419-426
    19. Ji Liu, Shuyu Chen, Haozhang Liu
      Pages 427-434
    20. Hadi Shakibian, Nasrollah Moghadam Charkari
      Pages 451-462
    21. Suke Li, Jinmei Hao, Zhong Chen
      Pages 463-474
    22. Shahriyah Nyak Saad Ali, Ahmad Mahir Razali, Azuraliza Abu Bakar, Nur Riza Suradi
      Pages 475-482
    23. Jun Liang, Mei Fang Xu, Lan Juan Li, Sheng Li Yang, Bao Luo Li, De Ren Cheng et al.
      Pages 491-499

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

Introduction

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.

Keywords

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 https://doi.org/10.1007/978-3-642-17313-4
  • 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
  • Buy this book on publisher's site