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KDD
1995
ACM
104views Data Mining» more  KDD 1995»
13 years 8 months ago
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets
Paul E. Stolorz, Hisashi Nakamura, Edmond Mesrobia...
AUSDM
2007
Springer
222views Data Mining» more  AUSDM 2007»
13 years 11 months ago
CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets
Aaron Ceglar, John F. Roddick, David M. W. Powers
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 6 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
13 years 11 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
14 years 5 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010