Advanced Data Mining and Applications

1. Front Matter

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2. Generating Syntactic Tree Templates for Feature-Based Opinion Mining

   • Liang Wu, Yuanchun Zhou, Fei Tan, Fenglei Yang, Jianhui Li

   Pages 1-12

3. Handling Concept Drift via Ensemble and Class Distribution Estimation Technique

   • Nachai Limsetto, Kitsana Waiyamai

   Pages 13-26

4. HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty

   • Wicha Meesuksabai, Thanapat Kangkachit, Kitsana Waiyamai

   Pages 27-40

5. Hybrid Artificial Immune Algorithm and CMAC Neural Network Classifier for Supporting Business and Medical Decision Making

   • Jui-Yu Wu

   Pages 41-54

6. Improving Suffix Tree Clustering with New Ranking and Similarity Measures

   • Phiradit Worawitphinyo, Xiaoying Gao, Shahida Jabeen

   Pages 55-68

7. Individual Doctor Recommendation Model on Medical Social Network

   • Jibing Gong, Shengtao Sun

   Pages 69-81

8. Influence Maximizing and Local Influenced Community Detection Based on Multiple Spread Model

   • Qiuling Yan, Shaosong Guo, Dongqing Yang

   Pages 82-95

9. Interactive Predicate Suggestion for Keyword Search on RDF Graphs

   • Mengxia Jiang, Yueguo Chen, Jinchuan Chen, Xiaoyong Du

   Pages 96-109

10. Intrinsic Dimension Induced Similarity Measure for Clustering

    • Yu Xiao, Jian Yu, Shu Gong

    Pages 110-123

11. Learning to Make Social Recommendations: A Model-Based Approach

    • Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton et al.

    Pages 124-137

12. Microgroup Mining on TSina via Network Structure and User Attribute

    • Xiaobing Xiong, Xiang Niu, Gang Zhou, Ke Xu, Yongzhong Huang

    Pages 138-151

13. Mining Good Sliding Window for Positive Pathogens Prediction in Pathogenic Spectrum Analysis

    • Lei Duan, Changjie Tang, Chi Gou, Min Jiang, Jie Zuo

    Pages 152-165

14. Mining Patterns from Longitudinal Studies

    • Aída Jiménez, Fernando Berzal, Juan-Carlos Cubero

    Pages 166-179

15. Mining Top-K Sequential Rules

    • Philippe Fournier-Viger, Vincent S. Tseng

    Pages 180-194

16. Mining Uncertain Data Streams Using Clustering Feature Decision Trees

    • Wenhua Xu, Zheng Qin, Hao Hu, Nan Zhao

    Pages 195-208

17. Multi-view Laplacian Support Vector Machines

    • Shiliang Sun

    Pages 209-222

18. New Developments of Determinacy Analysis

    • Rein Kuusik, Grete Lind

    Pages 223-236

19. On Mining Anomalous Patterns in Road Traffic Streams

    • Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng

    Pages 237-251

20. Ontology Guided Data Linkage Framework for Discovering Meaningful Data Facts

    • Mohammed Gollapalli, Xue Li, Ian Wood, Guido Governatori

    Pages 252-265

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

• Web services
• ant colony optimization
• distributed clustering
• multi-criteria decision analysis
• semi-supervised learning
• algorithm analysis and problem complexity

• Department of Computer Science and Technology, Tsinghua University, Beijing, China

  Jie Tang, Jianyong Wang

• Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China

  Irwin King

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

  Ling Chen

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