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ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 3 months ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
GECCO
2006
Springer
128views Optimization» more  GECCO 2006»
14 years 1 months ago
FTXI: fault tolerance XCS in integer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
Hong-Wei Chen, Ying-Ping Chen
CIBCB
2009
IEEE
13 years 11 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
BMCBI
2005
143views more  BMCBI 2005»
13 years 10 months ago
Evaluation of BioCreAtIvE assessment of task 2
Background: Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to functional descriptions is generally extr...
Christian Blaschke, Eduardo Andrés Le&oacut...
BMCBI
2005
84views more  BMCBI 2005»
13 years 10 months ago
A method of precise mRNA/DNA homology-based gene structure prediction
Background: Accurate and automatic gene finding and structural prediction is a common problem in bioinformatics, and applications need to be capable of handling non-canonical spli...
Alexander G. Churbanov, Mark Pauley, Daniel Quest,...