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Advanced Data Mining and Applications

Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Reda Alhajj

    1. Computer Science Department, University of Calgary , Calgary, Canada

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  2. Hong Gao

    1. School of Computer Science and Technology , Harbin Institute of Technology, Harbin, China

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  3. Jianzhong Li

    1. School of Computer Science and Technology , Harbin Institute of Technology , Harbin, China

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  4. Xue Li

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

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  5. Osmar R. Zaïane

    1. Department of Computing Science , University of Alberta, Edmonton, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4632)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ADMA 2007.

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Table of contents (61 papers)

  1. Front Matter

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  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
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  1. Advanced Data Mining and Applications

Keywords

About this book

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.

Editors and Affiliations

  • 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

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