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  • Conference proceedings
  • © 2007

Advances in Knowledge Discovery and Data Mining

11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4426)

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

Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

Conference proceedings info: PAKDD 2007.

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Table of contents (130 papers)

  1. Front Matter

  2. Regular Papers

    1. Hierarchical Density-Based Clustering of Categorical Data and a Simplification

      • Bill Andreopoulos, Aijun An, Xiaogang Wang
      Pages 11-22
    2. Multi-represented Classification Based on Confidence Estimation

      • Johannes Aßfalg, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert
      Pages 23-34
    3. Mining Frequent Itemsets from Uncertain Data

      • Chun-Kit Chui, Ben Kao, Edward Hung
      Pages 47-58
    4. QC4 - A Clustering Evaluation Method

      • Daniel Crabtree, Peter Andreae, Xiaoying Gao
      Pages 59-70
    5. Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery

      • Dihua Guo, Hui Xiong, Vijay Atluri, Nabil Adam
      Pages 71-83
    6. Consistency Based Attribute Reduction

      • Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu
      Pages 96-107
    7. A Hybrid Command Sequence Model for Anomaly Detection

      • Zhou Jian, Haruhiko Shirai, Isamu Takahashi, Jousuke Kuroiwa, Tomohiro Odaka, Hisakazu Ogura
      Pages 108-118
    8. Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic

      • Min-Woo Lee, Dong-Chul Park, Yunsik Lee
      Pages 131-137

Other Volumes

  1. Advances in Knowledge Discovery and Data Mining

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access