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» A Partial-Repeatability Approach to Data Mining
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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
15 years 11 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
126
Voted
PAKDD
2007
ACM
143views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Clustering Ensembles Based on Normalized Edges
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
Yan Li, Jian Yu, Pengwei Hao, Zhulin Li
113
Voted
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 10 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
128
Voted
ICDM
2005
IEEE
117views Data Mining» more  ICDM 2005»
15 years 10 months ago
On Learning Asymmetric Dissimilarity Measures
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
139
Voted
ICDM
2005
IEEE
147views Data Mining» more  ICDM 2005»
15 years 10 months ago
Partial Elastic Matching of Time Series
We consider the problem of elastic matching of time series. We propose an algorithm that determines a subsequence of a target time series that best matches a query series. In the ...
Longin Jan Latecki, Vasileios Megalooikonomou, Qia...