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ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
9 years 6 months ago
Exploratory Mining in Cube Space
Raghu Ramakrishnan
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
9 years 6 months ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh
ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
9 years 6 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
ICDM
2006
IEEE
143views Data Mining» more  ICDM 2006»
9 years 6 months ago
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of...
Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, ...
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
9 years 6 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
9 years 6 months ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
9 years 6 months ago
Plagiarism Detection in arXiv
We describe a large-scale application of methods for finding plagiarism and self-plagiarism in research document collections. The methods are applied to a collection of 284,834 d...
Daria Sorokina, Johannes Gehrke, Simeon Warner, Pa...
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
9 years 6 months ago
SAXually Explicit Images: Finding Unusual Shapes
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
Li Wei, Eamonn J. Keogh, Xiaopeng Xi
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
9 years 6 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
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