We introduce a supervised learning algorithm that gives neural network classification
algorithms the capability of learning incrementally from new data without forgetting what has …

The potential business advantages of data mining are well documented in publications for
executives and managers. However, developers implementing major data-mining systems …

We describe the results of extensive experiments using optimized rule-based induction
methods on large document collections. The goal of these methods is to discover automatically …

Data mining is a mature technology. The prediction problem, looking for predictive patterns
in data, has been widely studied. Strong me-ods are available to the practitioner. These …

A general method of computer-assisted medical decision-making has been developed based
on causal-associational network (CASNET) models of disease. A CASNET model consists …

Classification methods from statistical pattern recognition, neural nets, and machine learning
were applied to four real-world data sets. Each of these data sets has been previously …

In mixed-sex rat groups maintained in visible burrow systems (VBS), consistent asymmetries
in offensive and defensive behaviors of male dyads are associated with the development of …

In mixed-sex rat groups consistent asymmetries in offensive and defensive behaviors of male
dyads are associated with the development of dominance hierarchies. Subordinate males …

When a cat was presented to groups of 3 male and 2 female laboratory rats in the open area
of a visible burrow system, the rats retreated to the burrow system and showed high levels …

Previously we authored “Text Mining: Predictive Methods for Analyzing Unstructured
Information.” That book was geared mostly to professional practitioners, but was adaptable to …