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» Using Data Mining in MURA Graphic Problems
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159
Voted
SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 6 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
GD
2009
Springer
15 years 1 months ago
On Open Problems in Biological Network Visualization
Much of the data generated and analyzed in the life sciences can be interpreted and represented by networks or graphs. Network analysis and visualization methods help in investigat...
Mario Albrecht, Andreas Kerren, Karsten Klein, Oli...
151
Voted
KDD
2012
ACM
168views Data Mining» more  KDD 2012»
13 years 6 months ago
Mining contentions from discussions and debates
Social media has become a major source of information for many applications. Numerous techniques have been proposed to analyze network structures and text contents. In this paper,...
Arjun Mukherjee, Bing Liu 0001
152
Voted
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
16 years 4 months ago
Unsupervised deduplication using cross-field dependencies
Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...
Robert Hall, Charles A. Sutton, Andrew McCallum
170
Voted
JCP
2006
139views more  JCP 2006»
15 years 3 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana