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Emerging Technologies in Knowledge Discovery and Data Mining

PAKDD 2007 International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers

  • Conference proceedings
  • © 2007

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Editors:
  1. Takashi Washio
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  2. Zhi-Hua Zhou
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  3. Joshua Zhexue Huang
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  4. Xiaohua Hu
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  5. Jinyan Li
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  6. Chao Xie
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  7. Jieyue He
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  8. Deqing Zou
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  9. Kuan-Ching Li
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  10. Mário M. Freire
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4819)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2007.

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Table of contents (66 papers)

  1. PAKDD Industrial Track and Workshops 2007

    1. Workshop of BioDM 2007

      1. Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model
        • Xiaolong Zhang, Xiaoli Lin, Chengpeng Wan, Tingting Li
        Pages 186-193
      2. Biclustering of Microarray Data Based on Singular Value Decomposition
        • Wen-Hui Yang, Dao-Qing Dai, Hong Yan
        Pages 194-205
      3. On the Number of Partial Least Squares Components in Dimension Reduction for Tumor Classification
        • Xue-Qiang Zeng, Guo-Zheng Li, Geng-Feng Wu, Hua-Xing Zou
        Pages 206-217
      4. Mining Biosignal Data: Coronary Artery Disease Diagnosis Using Linear and Nonlinear Features of HRV
        • Heon Gyu Lee, Ki Yong Noh, Keun Ho Ryu
        Pages 218-228

    2. Workshop of HPDMA 2007

      1. High Performance Data Mining and Applications Overview
        • Chao Xie, Jieyue He
        Pages 229-230
      2. Approximately Mining Recently Representative Patterns on Data Streams
        • Jia-Ling Koh, Yuan-Bin Don
        Pages 231-243
      3. Finding Frequent Items in Data Streams Using ESBF
        • ShuYun Wang, XiuLan Hao, HeXiang Xu, YunFa Hu
        Pages 244-255
      4. A New Decision Tree Classification Method for Mining High-Speed Data Streams Based on Threaded Binary Search Trees
        • Tao Wang, Zhoujun Li, Xiaohua Hu, Yuejin Yan, Huowang Chen
        Pages 256-267
      5. Progressive Subspace Skyline Clusters Mining on High Dimensional Data
        • Rong Hu, Yansheng Lu, Lei Zou, Chong Zhou
        Pages 268-279
      6. Efficient Privacy Preserving Distributed Clustering Based on Secret Sharing
        • Selim V. Kaya, Thomas B. Pedersen, Erkay Savaş, Yücel Saygıýn
        Pages 280-291
      7. SePMa: An Algorithm That Mining Sequential Processes from Hybrid Log
        • Xiaoyu Huang, Huiling Zhong, Wenxue Cai
        Pages 292-300
      8. Evaluate Structure Similarity in XML Documents with Merge-Edit-Distance
        • Chong Zhou, Yansheng Lu, Lei Zou, Rong Hu
        Pages 301-311
      9. Ensemble Learning Based Distributed Clustering
        • Genlin Ji, Xiaohan Ling
        Pages 312-321
      10. Deploying Mobile Agents in Distributed Data Mining
        • Xining Li, JingBo Ni
        Pages 322-331
      11. ODDC: Outlier Detection Using Distance Distribution Clustering
        • Kun Niu, Chong Huang, Shubo Zhang, Junliang Chen
        Pages 332-343
      12. Spatial Clustering with Obstacles Constraints Using Ant Colony and Particle Swarm Optimization
        • Xueping Zhang, Jiayao Wang, Zhongshan Fan, Bin Li
        Pages 344-356
      13. A High Performance Hierarchical Cubing Algorithm and Efficient OLAP in High-Dimensional Data Warehouse
        • Kongfa Hu, Zhenzhi Gong, Qingli Da, Ling Chen
        Pages 357-367
      14. Grid-Based Clustering Algorithm Based on Intersecting Partition and Density Estimation
        • Bao-Zhi Qiu, Xiang-Li Li, Jun-Yi Shen
        Pages 368-377
      15. Depth First Generation of Frequent Patterns Without Candidate Generation
        • Qunxiong Zhu, Xiaoyong Lin
        Pages 378-388
      16. Efficient Time Series Data Classification and Compression in Distributed Monitoring
        • Sheng Di, Hai Jin, Shengli Li, Jing Tie, Ling Chen
        Pages 389-400
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  1. Advances in Knowledge Discovery and Data Mining

  2. Emerging Technologies in Knowledge Discovery and Data Mining

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