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ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 5 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
KDD
2009
ACM
157views Data Mining» more  KDD 2009»
15 years 6 months ago
Hierarchical difference scatterplots interactive visual analysis of data cubes
Data cubes as employed by On-Line Analytical Processing (OLAP) play a key role in many application domains. The analysis typically involves to compare categories of different hie...
Harald Piringer, Matthias Buchetics, Helwig Hauser...
ICDM
2008
IEEE
143views Data Mining» more  ICDM 2008»
15 years 6 months ago
Exploiting Data Semantics to Discover, Extract, and Model Web Sources
We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an en...
José Luis Ambite, Craig A. Knoblock, Kristi...
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
15 years 1 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut
CIKM
2008
Springer
15 years 1 months ago
Professional credibility: authority on the web
Opinion mining techniques add another dimension to search and summarization technology by actually identifying the author's opinion about a subject, rather than simply identi...
Jack G. Conrad, Jochen L. Leidner, Frank Schilder