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» A New Approach to Protein Structure Mining and Alignment
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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 6 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
SEMWEB
2010
Springer
13 years 6 months ago
Linking and Building Ontologies of Linked Data
The Web of Linked Data is characterized by linking structured data from different sources using equivalence statements, such as owl:sameAs, as well as other types of linked propert...
Rahul Parundekar, Craig A. Knoblock, José L...
JCC
2011
109views more  JCC 2011»
12 years 11 months ago
VoteDock: Consensus docking method for prediction of protein-ligand interactions
: Molecular recognition plays a fundamental role in all biological processes, and that is why great efforts have been made to understand and predict protein–ligand interactions. ...
Dariusz Plewczynski, Michal Lazniewski, Marcin von...
SDM
2008
SIAM
122views Data Mining» more  SDM 2008»
13 years 10 months ago
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 6 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu