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» Efficient Discovery of Confounders in Large Data Sets
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 6 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
ICDE
2000
IEEE
120views Database» more  ICDE 2000»
16 years 7 months ago
Efficient Query Subscription Processing in a Multicast Environment
Abstract Arturo Crespo, Orkut Buyukkokten, and Hector Garcia-Molina Stanford University With information dissemination (information push), data is delivered from a set of producers...
Arturo Crespo, Orkut Buyukkokten, Hector Garcia-Mo...
BMCBI
2006
156views more  BMCBI 2006»
15 years 6 months ago
Bayesian models for pooling microarray studies with multiple sources of replications
Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides with...
Erin M. Conlon, Joon J. Song, Jun S. Liu
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 11 months ago
Clustering with Niching Genetic K-means Algorithm
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...
Weiguo Sheng, Allan Tucker, Xiaohui Liu
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 6 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...