New Frontiers in Applied Data Mining

1. Front Matter

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2. International Workshop on Behavior Informatics (BI 2011)

   1. Front Matter

      Pages 1-1

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   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

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.

• cloud computing
• genetic network programming
• memetic algorithm
• particle swarm optimization
• recommender systems

• 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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