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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
15 years 10 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
ESANN
2006
15 years 8 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
BMCBI
2008
141views more  BMCBI 2008»
15 years 6 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...
BMCBI
2005
106views more  BMCBI 2005»
15 years 6 months ago
Thesaurus-based disambiguation of gene symbols
Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
BMCBI
2002
134views more  BMCBI 2002»
15 years 6 months ago
CoreGenes: A computational tool for identifying and cataloging "core" genes in a set of small genomes
Background: Improvements in DNA sequencing technology and methodology have led to the rapid expansion of databases comprising DNA sequence, gene and genome data. Lower operational...
Nikhat Zafar, Raja Mazumder, Donald Seto