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» Efficient Discovery of Confounders in Large Data Sets
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FLAIRS
2003
13 years 11 months ago
Logical Identities Applied to Knowledge Discovery in Databases
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
BMCBI
2006
98views more  BMCBI 2006»
13 years 10 months ago
Quantitative comparison of EST libraries requires compensation for systematic biases in cDNA generation
Background: Publicly accessible EST libraries contain valuable information that can be utilized for studies of tissue-specific gene expression and processing of individual genes. ...
Donglin Liu, Joel H. Graber
SSD
1995
Springer
146views Database» more  SSD 1995»
14 years 1 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
WWW
2005
ACM
14 years 11 months ago
Three-level caching for efficient query processing in large Web search engines
Large web search engines have to answer thousands of queries per second with interactive response times. Due to the sizes of the data sets involved, often in the range of multiple...
Xiaohui Long, Torsten Suel
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 2 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim