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154
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ITRE
2005
IEEE
15 years 9 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
135
Voted
BMCBI
2005
90views more  BMCBI 2005»
15 years 3 months ago
Text Detective: a rule-based system for gene annotation in biomedical texts
Background: The identification of mentions of gene or gene products in biomedical texts is a critical step in the development of text mining applications in biosciences. The compl...
Javier Tamames
146
Voted
IFIP
1993
Springer
15 years 7 months ago
Plant Engineering: Conceptual Modeling and Modular Design of a Computer Aided Environment
When designing a plant for continuous or semi-continuous processes, such as paper pulp or petrochemical production systems, engineers face very complex tasks, which are only in pa...
Cláudio Walter, José Palazzo M. de O...
120
Voted
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 4 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
138
Voted
RAID
1999
Springer
15 years 8 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo