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  • Conference proceedings
  • © 2006

Advanced Data Mining and Applications

Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4093)

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

Conference series link(s): ADMA: International Conference on Advanced Data Mining and Applications

Conference proceedings info: ADMA 2006.

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Table of contents (120 papers)

  1. Front Matter

  2. Invited Papers

    1. Warehousing and Mining Massive RFID Data Sets

      • Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan
      Pages 1-18
    2. Finding Time Series Discords Based on Haar Transform

      • Ada Wai-chee Fu, Oscar Tat-Wing Leung, Eamonn Keogh, Jessica Lin
      Pages 31-41
    3. Learning with Local Drift Detection

      • João Gama, Gladys Castillo
      Pages 42-55
  3. Association Rules

    1. SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases

      • Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan
      Pages 92-99
    2. Study of Positive and Negative Association Rules Based on Multi-confidence and Chi-Squared Test

      • Xiangjun Dong, Fengrong Sun, Xiqing Han, Ruilian Hou
      Pages 100-109
    3. Efficiently Mining Maximal Frequent Mutually Associated Patterns

      • Zhongmei Zhou, Zhaohui Wu, Chunshan Wang, Yi Feng
      Pages 110-117
    4. Efficiently Mining Mutually and Positively Correlated Patterns

      • Zhongmei Zhou, Zhaohui Wu, Chunshan Wang, Yi Feng
      Pages 118-125
  4. Classification

    1. ComEnVprs: A Novel Approach for Inducing Decision Tree Classifiers

      • Shuqin Wang, Jinmao Wei, Junping You, Dayou Liu
      Pages 126-134
    2. Towards a Rough Classification of Business Travelers

      • Rob Law, Thomas Bauer, Karin Weber, Tony Tse
      Pages 135-142
    3. Music Style Classification with a Novel Bayesian Model

      • Yatong Zhou, Taiyi Zhang, Jiancheng Sun
      Pages 150-156
    4. Classification of Polarimetric SAR Data Based on Multidimensional Watershed Clustering

      • Wen Yang, Hao Wang, Yongfeng Cao, Haijian Zhang
      Pages 157-164
    5. Robust Collective Classification with Contextual Dependency Network Models

      • Yonghong Tian, Tiejun Huang, Wen Gao
      Pages 173-180

Other Volumes

  1. Advanced Data Mining and Applications

Keywords

  • Cluster
  • Ubiquitous Computing
  • Video Retrieval
  • benchmarking
  • bioinformatics
  • classification
  • correlation mining
  • data mining
  • data mining visualization
  • disaster prediction
  • e-commerce
  • modeling
  • ontology
  • optimization
  • performance tuning

Editors and Affiliations

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

    Xue Li

  • University of Alberta, Canada

    Osmar R. Zaïane

  • Northwest Polytechnical University, China

    Zhanhuai Li

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions