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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

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  2. Shuliang Wang

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

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  3. Zhao Yang Dong

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

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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.

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Table of contents (97 papers)

  1. Front Matter

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  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
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Other volumes

  1. Advanced Data Mining and Applications

Keywords

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

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