The use of rules in business modeling is becoming more and more important, in applications requiring dynamic change of behavior. A number of rule languages and tools have been prop...
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
A declarative rule inference engine can be very useful for modern distributed or heterogeneous applications, if it can be configured for multiple semantics and evaluation strategi...