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New Frontiers in Applied Data Mining

PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers

  • Conference proceedings
  • © 2012

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Editors:
  1. Longbing Cao

    1. Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

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  2. Joshua Zhexue Huang

    1. Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen, China

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  3. James Bailey

    1. The University of Melbourne, Melbourne, Australia

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  4. Yun Sing Koh

    1. The University of Auckland, Auckland, New Zealand

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  5. Jun Luo

    1. Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7104)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: PAKDD 2011.

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Table of contents (42 papers)

  1. Front Matter

    Download chapter PDF

  2. International Workshop on Behavior Informatics (BI 2011)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Evaluating the Regularity of Human Behavior from Mobile Phone Usage Logs

      • Hyoungnyoun Kim, Ji-Hyung Park
      Pages 3-14

    3. Explicit and Implicit User Preferences in Online Dating

      • Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Pizzato, Judy Kay, Tomasz Rej
      Pages 15-27

    4. Blogger-Link-Topic Model for Blog Mining

      • Flora S. Tsai
      Pages 28-39

    5. A Random Indexing Approach for Web User Clustering and Web Prefetching

      • Miao Wan, Arne Jönsson, Cong Wang, Lixiang Li, Yixian Yang
      Pages 40-52

    6. Emotional Reactions to Real-World Events in Social Networks

      • Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
      Pages 53-64

    7. Constructing Personal Knowledge Base: Automatic Key-Phrase Extraction from Multiple-Domain Web Pages

      • Yin-Fu Huang, Cin-Siang Ciou
      Pages 65-76

    8. Discovering Valuable User Behavior Patterns in Mobile Commerce Environments

      • Bai-En Shie, Hui-Fang Hsiao, Philip S. Yu, Vincent S. Tseng
      Pages 77-88

    9. A Novel Method for Community Detection in Complex Network Using New Representation for Communities

      • Wang Yiwen, Yao Min
      Pages 89-99

    10. Link Prediction on Evolving Data Using Tensor Factorization

      • Stephan Spiegel, Jan Clausen, Sahin Albayrak, Jérôme Kunegis
      Pages 100-110

    11. Permutation Anonymization: Improving Anatomy for Privacy Preservation in Data Publication

      • Xianmang He, Yanghua Xiao, Yujia Li, Qing Wang, Wei Wang, Baile Shi
      Pages 111-123

    12. Efficient Mining Top-k Regular-Frequent Itemset Using Compressed Tidsets

      • Komate Amphawan, Philippe Lenca, Athasit Surarerks
      Pages 124-135

    13. A Method of Similarity Measure and Visualization for Long Time Series Using Binary Patterns

      • Hailin Li, Chonghui Guo, Libin Yang
      Pages 136-147

    14. A BIRCH-Based Clustering Method for Large Time Series Databases

      • Vo Le Quy Nhon, Duong Tuan Anh
      Pages 148-159

    15. Visualizing Cluster Structures and Their Changes over Time by Two-Step Application of Self-Organizing Maps

      • Masahiro Ishikawa
      Pages 160-170

    16. Analysis of Cluster Migrations Using Self-Organizing Maps

      • Denny, Peter Christen, Graham J. Williams
      Pages 171-182

  3. Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models Workshop (QIMIE 2011)

    1. Front Matter

      Pages 183-183
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    2. ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information

      • Anca Maria Ivanescu, Marc Wichterich, Thomas Seidl
      Pages 185-196

    3. The Instance Easiness of Supervised Learning for Cluster Validity

      • Vladimir Estivill-Castro
      Pages 197-208
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. New Frontiers in Applied Data Mining

Keywords

About this book

This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The 42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.

Editors and Affiliations

  • Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

    Longbing Cao

  • Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen, China

    Joshua Zhexue Huang, Jun Luo

  • The University of Melbourne, Melbourne, Australia

    James Bailey

  • The University of Auckland, Auckland, New Zealand

    Yun Sing Koh

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