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EOR
2006
130views more  EOR 2006»
15 years 6 months ago
A Benders decomposition approach for the robust spanning tree problem with interval data
The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
Roberto Montemanni
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
16 years 6 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
AAAI
1996
15 years 7 months ago
Discovering Robust Knowledge from Dynamic Closed World Data
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
Chun-Nan Hsu, Craig A. Knoblock
CSB
2005
IEEE
156views Bioinformatics» more  CSB 2005»
15 years 11 months ago
A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
DEXAW
2008
IEEE
120views Database» more  DEXAW 2008»
16 years 15 days ago
Robust Data Exchange for Unreliable P2P Networks
The aim of this work is to provide a robust way for peers with heterogeneous data sources to exchange information in an unreliable network. We address this problem in two ways. Fi...
Duc Minh Le, Andrew Smith, Peter McBrien