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SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
13 years 11 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
13 years 11 months ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 11 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 5 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
ICDM
2007
IEEE
111views Data Mining» more  ICDM 2007»
13 years 11 months ago
Change-Point Detection in Time-Series Data Based on Subspace Identification
Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida