704 search results - page 25 / 141 » Discovering Itemset Interactions |
BMCBI
2006
14 years 9 months ago
2006
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
DAWAK
2001
Springer
15 years 2 months ago
2001
Springer
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
97
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DASFAA
2004
IEEE
15 years 1 months ago
2004
IEEE
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
132
Voted
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
102
click to vote
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...