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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 9 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
SDM
2007
SIAM
86views Data Mining» more  SDM 2007»
13 years 10 months ago
Identifying Bundles of Product Options using Mutual Information Clustering
Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...
Claudia Perlich, Saharon Rosset
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 10 months ago
Mining Approximate Order Preserving Clusters in the Presence of Noise
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Mengsheng Zhang, Wei Wang 0010, Jinze Liu
PAMI
1998
128views more  PAMI 1998»
13 years 8 months ago
A Hierarchical Latent Variable Model for Data Visualization
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
Christopher M. Bishop, Michael E. Tipping
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 3 months ago
Cross-Mining Binary and Numerical Attributes
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...