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Advanced Data Mining and Applications

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

  • Xue Li
  • Osmar R. Zaïane
  • Zhanhuai Li
Conference proceedings ADMA 2006

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4093)

Table of contents

  1. Front Matter
    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
    8. User-Centered Image Semantics Classification
      Hongli Xu, De Xu, Fangshi Wang
      Pages 181-188
    9. A Performance Study of Gaussian Kernel Classifiers for Data Mining Applications
      Miyoung Shin
      Pages 189-196
    10. TTLSC – Transductive Total Least Square Model for Classification and Its Application in Medicine
      Qun Song, Tian Min Ma, Nikola Kasabov
      Pages 197-204
    11. Forecasting Electricity Market Price Spikes Based on Bayesian Expert with Support Vector Machines
      Wei Wu, Jianzhong Zhou, Li Mo, Chengjun Zhu
      Pages 205-212
    12. Integrating Local One-Class Classifiers for Image Retrieval
      Yiqing Tu, Gang Li, Honghua Dai
      Pages 213-222
    13. Incremental Discretization for Naïve-Bayes Classifier
      Jingli Lu, Ying Yang, Geoffrey I. Webb
      Pages 223-238
    14. Distance Guided Classification with Gene Expression Programming
      Lei Duan, Changjie Tang, Tianqing Zhang, Dagang Wei, Huan Zhang
      Pages 239-246
    15. Research on Multi-valued and Multi-labeled Decision Trees
      Hong Li, Rui Zhao, Jianer Chen, Yao Xiang
      Pages 247-254

  5. Clustering

    1. A Spatial Clustering Algorithm Based on SOFM
      Zhong Qu, Lian Wang
      Pages 255-262
    2. Mining Spatial-temporal Clusters from Geo-databases
      Min Wang, Aiping Wang, Anbo Li
      Pages 263-270
    3. A Fuzzy Subspace Algorithm for Clustering High Dimensional Data
      Guojun Gan, Jianhong Wu, Zijiang Yang
      Pages 271-278
    4. Robust Music Information Retrieval on Mobile Network Based on Multi-Feature Clustering
      Won-Jung Yoon, Sanghun Oh, Kyu-Sik Park
      Pages 279-283
    5. Joint Cluster Based Co-clustering for Clustering Ensembles
      Tianming Hu, Liping Liu, Chao Qu, Sam Yuan Sung
      Pages 284-295
    6. Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques
      Guandong Xu, Yanchun Zhang, Rezaul Begg
      Pages 296-307
    7. Combining Multiple Clusterings Via k-Modes Algorithm
      Huilan Luo, Fansheng Kong, Yixiao Li
      Pages 308-315
    8. HOV3: An Approach to Visual Cluster Analysis
      Ke-Bing Zhang, Mehmet A. Orgun, Kang Zhang
      Pages 316-327
    9. A New Fuzzy Co-clustering Algorithm for Categorization of Datasets with Overlapping Clusters
      William-Chandra Tjhi, Lihui Chen
      Pages 328-339
    10. Quantum-Behaved Particle Swarm Optimization Clustering Algorithm
      Jun Sun, Wenbo Xu, Bin Ye
      Pages 340-347
    11. Clustering Mixed Data Based on Evidence Accumulation
      Huilan Luo, Fansheng Kong, Yixiao Li
      Pages 348-355
    12. Mining Maximal Local Conserved Gene Clusters from Microarray Data
      Yuhai Zhao, Guoren Wang, Ying Yin, Guangyu Xu
      Pages 356-363

  6. Novel Algorithms

    1. A Novel P2P Information Clustering and Retrieval Mechanism
      Huaxiang Zhang, Peide Liu
      Pages 364-371
    2. Keeping Track of Customer Life Cycle to Build Customer Relationship
      Sung Ho Ha, Sung Min Bae
      Pages 372-379
    3. Mining of Flexible Manufacturing System Using Work Event Logs and Petri Nets
      Hesuan Hu, Zhiwu Li, Anrong Wang
      Pages 380-387
    4. Improved Genetic Algorithm for Multiple Sequence Alignment Using Segment Profiles (GASP)
      Yanping Lv, Shaozi Li, Changle Zhou, Wenzhong Guo, Zhengming Xu
      Pages 388-395
    5. A Novel Visual Clustering Algorithm for Finding Community in Complex Network
      Shuzhong Yang, Siwei Luo, Jianyu Li
      Pages 396-403
    6. Self-Organizing Network Evolving Model for Mining Network Community Structure
      Bo Yang
      Pages 404-415
    7. An Interactive Visualization Environment for Data Exploration Using Points of Interest
      David Da Costa, Gilles Venturini
      Pages 416-423
    8. Forecasting the Volatility of Stock Price Index
      Tae Hyup Roh
      Pages 424-435
    9. ExMiner: An Efficient Algorithm for Mining Top-K Frequent Patterns
      Tran Minh Quang, Shigeru Oyanagi, Katsuhiro Yamazaki
      Pages 436-447
    10. Learning Bayesian Networks Structure with Continuous Variables
      Shuang-Cheng Wang, Xiao-Lin Li, Hai-Yan Tang
      Pages 448-456

About these proceedings

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

  • Xue Li
    • 1
  • Osmar R. Zaïane
    • 2
  • Zhanhuai Li
    • 3
  1. 1.School of Information Technology and Electronic EngineeringThe University of QueenslandAustralia
  2. 2.University of AlbertaCanada
  3. 3.Northwest Polytechnical UniversityChina

Bibliographic information

  • DOI https://doi.org/10.1007/11811305
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-37025-3
  • Online ISBN 978-3-540-37026-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site