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» Experimental Design for Variable Selection in Data Bases
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CCE
2005
15 years 6 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
IDA
1999
Springer
15 years 10 months ago
Knowledge-Based Visualization to Support Spatial Data Mining
Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data, analysis by means of data minin...
Gennady L. Andrienko, Natalia V. Andrienko
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 6 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
194
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GI
1998
Springer
15 years 10 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
184
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BMCBI
2004
165views more  BMCBI 2004»
15 years 6 months ago
Analysis of oligonucleotide array experiments with repeated measures using mixed models
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
Hao Li, Constance L. Wood, Thomas V. Getchell, Mar...