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BMCBI
2007
135views more  BMCBI 2007»
15 years 6 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
ESANN
2007
15 years 8 months ago
A new feature selection scheme using data distribution factor for transactional data
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
Piyang Wang, Tommy W. S. Chow
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
16 years 27 days ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
WEBDB
2010
Springer
168views Database» more  WEBDB 2010»
15 years 11 months ago
WikiAnalytics: Disambiguation of Keyword Search Results on Highly Heterogeneous Structured Data
Wikipedia infoboxes is an example of a seemingly structured, yet extraordinarily heterogeneous dataset, where any given record has only a tiny fraction of all possible fields. Su...
Andrey Balmin, Emiran Curtmola
BMCBI
2008
178views more  BMCBI 2008»
15 years 6 months ago
Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
Background: The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes ...
Kin-On Cheng, Ngai-Fong Law, Wan-Chi Siu, Alan Wee...