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BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
15 years 17 days ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
178
Voted
SIGMOD
2008
ACM
198views Database» more  SIGMOD 2008»
16 years 18 days ago
Efficient storage scheme and query processing for supply chain management using RFID
As the size of an RFID tag becomes smaller and the price of the tag gets lower, RFID technology has been applied to a wide range of areas. Recently, RFID has been adopted in the b...
Chun-Hee Lee, Chin-Wan Chung
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
16 years 1 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
89
Voted
WWW
2005
ACM
16 years 1 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng
105
Voted
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 5 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...