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ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 10 months ago
HD-Eye - Visual Clustering of High dimensional Data
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
Alexander Hinneburg, Daniel A. Keim, Markus Wawryn...
COMSWARE
2007
IEEE
14 years 3 months ago
Topology-based Clusterhead Candidate Selection in Wireless Ad-hoc and Sensor Networks
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. Neighboring devices elect one appropriate device as clusterhead. Due t...
Matthias R. Brust, Adrian Andronache, Steffen Roth...
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 2 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
DMKD
2000
ACM
165views Data Mining» more  DMKD 2000»
14 years 1 months ago
On Mining Web Access Logs
The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine ...
Anupam Joshi, Raghu Krishnapuram
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 9 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li