Advanced Data Mining and Applications

1. Front Matter

   PDF

2. Invited Talk

   1. Mining Ambiguous Data with Multi-instance Multi-label Representation

      • Zhi-Hua Zhou

      Pages 1-1

3. Regular Papers

   1. DELAY: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams

      • Hui Yang, Hongyan Liu, Jun He

      Pages 2-14

   2. Exploring Content and Linkage Structures for Searching Relevant Web Pages

      • Darren Davis, Eric Jiang

      Pages 15-22

   3. CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search

      • Hao-ming Wang, Ye Guo

      Pages 23-34

   4. Rough Sets in Hybrid Soft Computing Systems

      • Renpu Li, Yongsheng Zhao, Fuzeng Zhang, Lihua Song

      Pages 35-44

   5. Discovering Novel Multistage Attack Strategies

      • Zhitang Li, Aifang Zhang, Dong Li, Li Wang

      Pages 45-56

   6. Privacy Preserving DBSCAN Algorithm for Clustering

      • K. Anil Kumar, C. Pandu Rangan

      Pages 57-68

   7. A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph

      • Lingyu Sun, Ming Leng, Songnian Yu

      Pages 69-80

   8. A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding

      • Xianhua Zeng, Siwei Luo

      Pages 81-88

   9. A k-Anonymity Clustering Method for Effective Data Privacy Preservation

      • Chuang-Cheng Chiu, Chieh-Yuan Tsai

      Pages 89-99

   10. LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology

       • Xuhui Wang, Shengguo Huang, Li Cao, Dinghao Shi, Ping Shu

       Pages 100-109

   11. A Coding Hierarchy Computing Based Clustering Algorithm

       • Jing Peng, Chang-jie Tang, Dong-qing Yang, An-long Chen, Lei Duan

       Pages 110-121

   12. Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets

       • Xiangjun Dong, Zhendong Niu, Xuelin Shi, Xiaodan Zhang, Donghua Zhu

       Pages 122-133

   13. Survey of Improving Naive Bayes for Classification

       • Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan

       Pages 134-145

   14. Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases

       • P. Krishna Prasad, C. Pandu Rangan

       Pages 146-157

   15. Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree

       • Kejia Zhang, Shengfei Shi, Hong Gao, Jianzhong Li

       Pages 158-169

   16. Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams

       • Yuan Lin, Hongyan Liu

       Pages 170-182

   17. Spatial Fuzzy Clustering Using Varying Coefficients

       • Huaqiang Yuan, Yaxun Wang, Jie Zhang, Wei Tan, Chao Qu, Wenbin He

       Pages 183-190

   18. Collaborative Target Classification for Image Recognition in Wireless Sensor Networks

       • Xue Wang, Sheng Wang, Junjie Ma

       Pages 191-202

The Third International Conference on Advanced Data Mining and Applications (ADMA) organized in Harbin, China continued the tradition already established by the first two ADMA conferences in Wuhan in 2005 and Xi’an in 2006. One major goal of ADMA is to create a respectable identity in the data mining research com- nity. This feat 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. The impact of a conference is measured by the citations the conference papers receive. Some have used this measure to rank conferences. For example, the independent source cs-conference-ranking.org ranks ADMA (0.65) higher than PAKDD (0.64) and PKDD (0.62) as of June 2007, which are well established conferences in data mining. While the ranking itself is questionable because the exact procedure is not disclosed, it is nevertheless an encouraging indicator of recognition for a very young conference such as ADMA.

• Attribut
• Bayesian networks
• Business-Intelligence
• Fusion
• algorithms
• bioinformatics
• classification
• correlation mining
• data mining
• feature selection
• genomics
• indexing
• intelligence
• learning
• statistics

• Computer Science Department, University of Calgary , Calgary, Canada

  Reda Alhajj

• School of Computer Science and Technology , Harbin Institute of Technology, Harbin, China

  Hong Gao

• School of Computer Science and Technology , Harbin Institute of Technology , Harbin, China

  Jianzhong Li

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

  Xue Li

• Department of Computing Science , University of Alberta, Edmonton, Canada

  Osmar R. Zaïane

Policies and ethics