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» Data Clustering: A Review
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IADIS
2008
15 years 8 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
NAR
1998
70views more  NAR 1998»
15 years 6 months ago
Haemophilia B: database of point mutations and short additions and deletions--eighth edition
The eighth edition of the haemophilia B database (http://www.umds.ac.uk/molgen/haemBdatabase.htm ) lists in an easily accessible form all known factor IX mutations due to small ch...
F. Giannelli, P. M. Green, S. S. Sommer, M.-C. Poo...
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
15 years 11 months ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
BMCBI
2008
115views more  BMCBI 2008»
15 years 6 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
BTW
2009
Springer
153views Database» more  BTW 2009»
16 years 1 months ago
Formalizing ETL Jobs for Incremental Loading of Data Warehouses
Abstract: Extract-transform-load (ETL) tools are primarily designed for data warehouse loading, i.e. to perform physical data integration. When the operational data sources happen ...
Thomas Jörg, Stefan Deßloch