Advanced Data Mining and Applications

1. Front Matter

   PDF

2. Keynotes

   1. An Introduction to Transfer Learning

      • Qiang Yang

      Pages 1-1

   2. Autonomy-Oriented Computing (AOC), Self-organized Computability, and Complex Data Mining

      • Jiming Liu

      Pages 2-2

3. Regular Papers

   1. Improving Angle Based Mappings

      • Frank Rehm, Frank Klawonn

      Pages 3-14

   2. Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks

      • Manolis Maragoudakis, Nikolaos Cosmas, Aristogiannis Garbis

      Pages 15-26

   3. Boosting over Groups and Its Application to Acronym-Expansion Extraction

      • Weijian Ni, Yalou Huang, Dong Li, Yang Wang

      Pages 27-38

   4. A Genetic-Based Feature Construction Method for Data Summarisation

      • Rayner Alfred

      Pages 39-50

   5. Suicidal Risk Evaluation Using a Similarity-Based Classifier

      • S. Chattopadhyay, P. Ray, H. S. Chen, M. B. Lee, H. C. Chiang

      Pages 51-61

   6. Gene Selection for Cancer Classification Using DCA

      • Hoai An Le Thi, Van Vinh Nguyen, Samir Ouchani

      Pages 62-72

   7. FARS: A Multi-relational Feature and Relation Selection Approach for Efficient Classification

      • Bo Hu, Hongyan Liu, Jun He, Xiaoyong Du

      Pages 73-86

   8. Enhancing Text Categorization Using Sentence Semantics

      • Shady Shehata, Fakhri Karray, Mohamed Kamel

      Pages 87-98

   9. Mining Evolving Web Sessions and Clustering Dynamic Web Documents for Similarity-Aware Web Content Management

      • Jitian Xiao

      Pages 99-110

   10. Data Quality in Privacy Preservation for Associative Classification

       • Nattapon Harnsamut, Juggapong Natwichai, Xingzhi Sun, Xue Li

       Pages 111-122

   11. Timeline Analysis of Web News Events

       • Jiangtao Qiu, Chuan Li, Shaojie Qiao, Taiyong Li, Jun Zhu

       Pages 123-134

   12. Analysis of Alarm Sequences in a Chemical Plant

       • Savo Kordic, Peng Lam, Jitian Xiao, Huaizhong Li

       Pages 135-146

   13. Speed Up SVM Algorithm for Massive Classification Tasks

       • Thanh-Nghi Do, Van-Hoa Nguyen, François Poulet

       Pages 147-157

   14. Mining Supplemental Frequent Patterns

       • Yintian Liu, Yingming Liu, Tao Zeng, Kaikuo Xu, Rong Tang

       Pages 158-169

   15. A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree

       • Chunhua Su, Kouichi Sakurai

       Pages 170-181

   16. Dichotomy Method toward Interactive Testing-Based Fault Localization

       • Ji-Rong Sun, Zhi-Shu Li, Jian-Cheng Ni

       Pages 182-193

   17. Maintaining the Maximum Normalized Mean and Applications in Data Stream Mining

       • Jan Peter Patist

       Pages 194-206

The Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008) will be held in Chengdu, China, followed by the last three successful ADMA conferences (2005 in Wu Han, 2006 in Xi'an, and 2007 Harbin). Our major goal of ADMA is to bring together the experts on data mining in the world, and to provide a leading international forum for the dissemination of original research results in data mining, including applications, algorithms, software and systems, and different disciplines with potential applications of data mining. This goal has been partially achieved in a very short time despite the young age of the conference, thanks to the rigorous review process insisted upon, the outstanding list of internationally renowned keynote speakers and the excellent program each year. ADMA is ranked higher than, or very similar to, other data mining conferences (such as PAKDD, PKDD, and SDM) in early 2008 by an independent source: cs-conference-ranking. org. This year we had the pleasure and honor to host illustrious keynote speakers. Our distinguished keynote speakers are Prof. Qiang Yang and Prof. Jiming Liu. Prof. Yang is a tenured Professor and postgraduate studies coordinator at Computer Science and Engineering Department of Hong Kong University of Science and Technology. He is also a member of AAAI, ACM, a senior member of the IEEE, and he is also an as- ciate editor for the IEEE TKDE and IEEE Intelligent Systems, KAIS and WI Journals.

• Bayesian network
• Bayesian networks
• algorithms
• benchmarking
• classification
• correlation mining
• decision tree
• e-commerce
• information retrieval
• local learning
• maintenance
• ontology
• programming
• proving
• testing

• School of Computer Science, Sichuan University, Chengdu, China

  Changjie Tang

• Department of Computer Science, The University of Western Ontario, Canada

  Charles X. Ling

• School of ITEE, The University of Queensland, Australia

  Xiaofang Zhou

• Faculty of Science & Engineering, York University, Toronto, Canada

  Nick J. Cercone

• School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia

  Xue Li

Policies and ethics