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...
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...
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...
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...
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]. ...