Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Advanced Data Mining and Applications

First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Xue Li

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Shuliang Wang

    1. The State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Zhao Yang Dong

    1. School of ITEE, The Univ of Queensland, St. Lucia, Australia

    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 3584)

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

Included in the following conference series:

Conference proceedings info: ADMA 2005.

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

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Keywords

Table of contents (97 papers)

  1. Front Matter

    Download chapter PDF

  2. Keynote Papers

    1. Decision Making with Uncertainty and Data Mining

      • David L. Olson, Desheng Wu
      Pages 1-9

    2. Complex Networks and Networked Data Mining

      • Deyi Li, Guisheng Chen, Baohua Cao
      Pages 10-12

    3. In-Depth Data Mining and Its Application in Stock Market

      • Chengqi Zhang, Shichao Zhang
      Pages 13-13

    4. Relevance of Counting in Data Mining Tasks

      • Osmar R. Zaïane
      Pages 14-18

  3. Invited Papers

    1. Term Graph Model for Text Classification

      • Wei Wang, Diep Bich Do, Xuemin Lin
      Pages 19-30

    2. A Latent Usage Approach for Clustering Web Transaction and Building User Profile

      • Yanchun Zhang, Guandong Xu, Xiaofang Zhou
      Pages 31-42

  4. Association Rules

    1. Mining Quantitative Association Rules on Overlapped Intervals

      • Qiang Tong, Baoping Yan, Yuanchun Zhou
      Pages 43-50

    2. An Approach to Mining Local Causal Relationships from Databases

      • Yang Bo He, Zhi Geng, Xun Liang
      Pages 51-58

    3. Mining Least Relational Patterns from Multi Relational Tables

      • Siti Hairulnita Selamat, Mustafa Mat Deris, Rabiei Mamat, Zuriana Abu Bakar
      Pages 59-66

    4. Finding All Frequent Patterns Starting from the Closure

      • Mohammad El-Hajj, Osmar R. Zaïane
      Pages 67-74

    5. Multiagent Association Rules Mining in Cooperative Learning Systems

      • Reda Alhajj, Mehmet Kaya
      Pages 75-87

    6. VisAR : A New Technique for Visualizing Mined Association Rules

      • Kesaraporn Techapichetvanich, Amitava Datta
      Pages 88-95

    7. An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms

      • Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen, Yan-Rong Kang
      Pages 96-107

  5. Classification

    1. E-CIDIM: Ensemble of CIDIM Classifiers

      • Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales-Bueno
      Pages 108-117

    2. Partially Supervised Classification – Based on Weighted Unlabeled Samples Support Vector Machine

      • Zhigang Liu, Wenzhong Shi, Deren Li, Qianqing Qin
      Pages 118-129

    3. Mining Correlated Rules for Associative Classification

      • Jian Chen, Jian Yin, Jin Huang
      Pages 130-140

    4. A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases

      • Hyontai Sug
      Pages 141-148

    5. Using Latent Class Models for Neighbors Selection in Collaborative Filtering

      • Xiaohua Sun, Fansheng Kong, Xiaobing Yang, Song Ye
      Pages 149-156

    6. A Polynomial Smooth Support Vector Machine for Classification

      • YuBo Yuan, TingZhu Huang
      Pages 157-164
Back to top

Other volumes

  1. Advanced Data Mining and Applications

Editors and Affiliations

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

    Xue Li

  • The State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

    Shuliang Wang

  • School of ITEE, The Univ of Queensland, St. Lucia, Australia

    Zhao Yang Dong

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation