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» Mining for the most certain predictions from dyadic data
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APBC
2003
120views Bioinformatics» more  APBC 2003»
13 years 8 months ago
From Informatics to Bioinformatics
Informatics has helped in launching molecular biology into the genomic era. It appears certain that informatics will continue to be a major factor in the success of molecular biol...
Vladimir B. Bajic, Vladimir Brusic, Jinyan Li, See...
DEXAW
2009
IEEE
113views Database» more  DEXAW 2009»
14 years 1 months ago
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study
—The management of patient referrals is an interesting issue when it comes to predicting future patient demand to increase hospital productivity. In general, a patient is referre...
Marie Persson, Niklas Lavesson
IDEAL
2004
Springer
14 years 1 days ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
14 years 5 days ago
Community Mining from Multi-relational Networks
Abstract. Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing met...
Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiaw...
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
13 years 11 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders