Learning decision rules in noisy domains

The automatic induction of classification rules from examples is an important technique used in data mining. One of the problems encountered is the overfitting of rules to training data. This paper describes a means of reducing overfitting known as J-...

Decision rules mining is an important technique in machine learning and data mining. It has been studied intensively during the past few years. However, most existing algorithms are based on flat dataset, from which a set of decision rules mined may be ...

Dependencies between the labels are commonly regarded as the crucial issue in multi-label classification. Rules provide a natural way for symbolically describing such relationships. For instance, rules with label tests in the body allow for representing ...