Skip to main content
SpringerLink
Log in
Book cover

Advanced Data Mining and Applications

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

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Xue Li

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Osmar R. Zaïane

    1. University of Alberta, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Zhanhuai Li

    1. Northwest Polytechnical University, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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)

Included in the following conference series:

Conference proceedings info: ADMA 2006.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (120 papers)

  1. Front Matter

    Download chapter PDF

  2. Invited Papers

    1. Warehousing and Mining Massive RFID Data Sets

      • Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan
      Pages 1-18

    2. Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents

      • A. C. Tsoi, M. Hagenbuchner, A. Sperduti
      Pages 19-30

    3. Finding Time Series Discords Based on Haar Transform

      • Ada Wai-chee Fu, Oscar Tat-Wing Leung, Eamonn Keogh, Jessica Lin
      Pages 31-41

    4. Learning with Local Drift Detection

      • João Gama, Gladys Castillo
      Pages 42-55

  3. Association Rules

    1. A Fast Algorithm for Maintenance of Association Rules in Incremental Databases

      • Xin Li, Zhi-Hong Deng, Shiwei Tang
      Pages 56-63

    2. Extending OLAP with Fuzziness for Effective Mining of Fuzzy Multidimensional Weighted Association Rules

      • Mehmet Kaya, Reda Alhajj
      Pages 64-71

    3. Incremental Maintenance of Association Rules Based on Multiple Previously Mined Results

      • Zhuohua Duan, Zixing Cai, Yan Lv
      Pages 72-79

    4. Mining and Validation of Localized Frequent Web Access Patterns with Dynamic Tolerance

      • Olfa Nasraoui, Suchandra Goswami
      Pages 80-91

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

      • Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan
      Pages 92-99

    6. 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

    7. Efficiently Mining Maximal Frequent Mutually Associated Patterns

      • Zhongmei Zhou, Zhaohui Wu, Chunshan Wang, Yi Feng
      Pages 110-117

    8. 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. Feature Extraction Based on Optimal Discrimination Plane in ECG Signal Classification

      • Dingfei Ge, Xiao Qu
      Pages 143-149

    4. Music Style Classification with a Novel Bayesian Model

      • Yatong Zhou, Taiyi Zhang, Jiancheng Sun
      Pages 150-156

    5. Classification of Polarimetric SAR Data Based on Multidimensional Watershed Clustering

      • Wen Yang, Hao Wang, Yongfeng Cao, Haijian Zhang
      Pages 157-164

    6. An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining

      • Daniel Neagu, Gongde Guo, Shanshan Wang
      Pages 165-172

    7. Robust Collective Classification with Contextual Dependency Network Models

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

Other volumes

  1. Advanced Data Mining and Applications

Keywords

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

Publish with us

Policies and ethics

Back to top

Search

Navigation