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ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
14 years 4 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
14 years 4 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
14 years 4 months ago
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization
Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. In this paper, we propose a new technique based on paral...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 3 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 4 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu