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GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
13 years 10 months ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
13 years 11 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
CASES
2004
ACM
13 years 9 months ago
Reducing energy consumption of queries in memory-resident database systems
The tremendous growth of system memories has increased the capacities and capabilities of memory-resident embedded databases, yet current embedded databases need to be tuned in or...
Jayaprakash Pisharath, Alok N. Choudhary, Mahmut T...
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 6 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
WWW
2008
ACM
14 years 6 months ago
Floatcascade learning for fast imbalanced web mining
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Gu...