Advanced Data Mining and Applications

1. Regular Papers

   1. A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining

      • Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricardo Vilalta

      Pages 188-199

   2. Feature Selection in Marketing Applications

      • Stefan Lessmann, Stefan Voß

      Pages 200-208

   3. Instance Selection by Border Sampling in Multi-class Domains

      • Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar

      Pages 209-221

   4. Virus Propagation and Immunization Strategies in Email Networks

      • Jiming Liu, Chao Gao, Ning Zhong

      Pages 222-233

   5. Semi-supervised Discriminant Analysis Based on Dependence Estimation

      • Xiaoming Liu, J. Tang, Jun Liu, Zhilin Feng, Zhaohui Wang

      Pages 234-245

   6. Nearest Neighbor Tour Circuit Encryption Algorithm Based Random Isomap Reduction

      • Wei Lu, Zheng-an Yao

      Pages 246-252

   7. Bayesian Multi-topic Microarray Analysis with Hyperparameter Reestimation

      • Tomonari Masada, Tsuyoshi Hamada, Yuichiro Shibata, Kiyoshi Oguri

      Pages 253-264

   8. Discovery of Correlated Sequential Subgraphs from a Sequence of Graphs

      • Tomonobu Ozaki, Takenao Ohkawa

      Pages 265-276

   9. Building a Text Classifier by a Keyword and Wikipedia Knowledge

      • Qiang Qiu, Yang Zhang, Junping Zhu, Wei Qu

      Pages 277-287

   10. Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis

       • MingJie Tang, YuanChun Zhou, Peng Cui, Weihang Wang, Jinyan Li, Haiting Zhang et al.

       Pages 288-301

   11. GOD-CS: A New Grid-Oriented Dissection Clustering Scheme for Large Databases

       • Cheng-Fa Tsai, Chien-Sheng Chiu

       Pages 302-313

   12. Study on Ensemble Classification Methods towards Spam Filtering

       • Jinlong Wang, Ke Gao, Yang Jiao, Gang Li

       Pages 314-325

   13. Crawling Deep Web Using a New Set Covering Algorithm

       • Yan Wang, Jianguo Lu, Jessica Chen

       Pages 326-337

   14. A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification

       • Yanbo J. Wang, Frans Coenen, Robert Sanderson

       Pages 338-349

   15. A Potential-Based Node Selection Strategy for Influence Maximization in a Social Network

       • Yitong Wang, Xiaojun Feng

       Pages 350-361

   16. A Novel Component-Based Model and Ranking Strategy in Constrained Evolutionary Optimization

       • Yu Wu, Yuanxiang Li, Xing Xu

       Pages 362-373

   17. A Semi-supervised Topic-Driven Approach for Clustering Textual Answers to Survey Questions

       • Hui Yang, Ajay Mysore, Sharonda Wallace

       Pages 374-385

   18. An Information-Theoretic Approach for Multi-task Learning

       • Pei Yang, Qi Tan, Hao Xu, Yehua Ding

       Pages 386-396

   19. Online New Event Detection Based on IPLSA

       • Xiaoming Zhang, Zhoujun Li

       Pages 397-408

2. Short Papers

   1. Discovering Knowledge from Multi-relational Data Based on Information Retrieval Theory

      • Rayner Alfred

      Pages 409-416

This volume contains the proceedings of the International Conference on Advanced Data Mining and Applications (ADMA 2009), held in Beijing, China, during August 17–19, 2009. We are pleased to have a very strong program. Acceptance into the conference proceedings was extremely competitive. From the 322 submissions from 27 countries and regions, the Program Committee selected 34 full papers and 47 short papers for presentation at the conference and inclusion in the proceedings. The c- tributed papers cover a wide range of data mining topics and a diverse spectrum of interesting applications. The Program Committee worked very hard to select these papers through a rigorous review process and extensive discussion, and finally c- posed a diverse and exciting program for ADMA 2009. An important feature of the main program was the truly outstanding keynote spe- ers program. Edward Y. Chang, Director of Research, Google China, gave a talk titled "Confucius and 'Its' Intelligent Disciples". Being right in the forefront of data mining applications to the world's largest knowledge and data base, the Web, Dr. Chang - scribed how Google's Knowledge Search product help to improve the scalability of machine learning for Web-scale applications. Charles X. Ling, a seasoned researcher in data mining from the University of Western Ontario, Canada, talked about his in- vative applications of data mining and artificial intelligence to gifted child education.

• Clustering
• classification
• cluster analysis
• collaborative filtering
• crawling
• data mining
• ensemble classification
• knowledge discovery
• machine learning
• multi-dimensional search
• self-organizing
• self-organizing map
• visualization
• web mining

• Knowledge Science & Engineering Institute, School of Education Technology, Beijing Normal University, Beijing, China

  Ronghuai Huang

• The Hong Kong University of Science and Technology, Clear Water Bay,, Hong Kong, Hong Kong

  Qiang Yang

• School of Computing Science, Simon Fraser University, Burnaby, Canada

  Jian Pei

• Faculty of Economics, University of Porto, Porto, Portugal

  João Gama

• School of Information, Zhongguancum, Renmin University, Beijing, China

  Xiaofeng Meng

• School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia, Australia

  Xue Li

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