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» Numbers in Multi-relational Data Mining
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CORR
2011
Springer
202views Education» more  CORR 2011»
15 years 2 days ago
Multi-skill Collaborative Teams based on Densest Subgraphs
We consider the problem of identifying a team of skilled individuals for collaboration, in the presence of a social network. Each node in the input social network may be an expert...
Amita Gajewar, Atish Das Sarma
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
15 years 11 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 5 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
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BMCBI
2005
87views more  BMCBI 2005»
15 years 5 months ago
BioCreAtIvE Task 1A: gene mention finding evaluation
Background: The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on...
Alexander S. Yeh, Alexander A. Morgan, Marc E. Col...
KDD
2002
ACM
93views Data Mining» more  KDD 2002»
16 years 5 months ago
Interactive deduplication using active learning
Deduplication is a key operation in integrating data from multiple sources. The main challenge in this task is designing a function that can resolve when a pair of records refer t...
Sunita Sarawagi, Anuradha Bhamidipaty