In the paper we discuss a new approach for learning classification rules from examples. We
sketch out the algorithm JoJo and its extension to a four step procedure which can be used …

We present ELEM2, a new method for inducing classification rules from a set of examples.
The method employs several new strategies in the induction and classification processes to …

This document describes a rule learning framework called SeCo (derived from Separate-
and-Conquer). This framework uses building blocks to specify each component that is …

Learning decision rules in noisy domains | Proceedings of Expert Systems '86, The 6Th Annual
Technical Conference on Research and development in expert systems III skip to main content …

This paper describes a new algorithm for obtaining rules automatically from training
examples. The algorithm is applicable to examples involving both objects: with discrete and …

We present ELEM2, a machine learning system that induces classification rules from a set of
data based on a heuristic search over a hypothesis space. ELEM2 is distinguished from …

Classification is an important field of data mining problems. Given a set of labeled training
examples the classification task constructs a classifier. A classifier is a global model which is …

The covering algorithm has been ubiquitous in the induction of classification rules. This
approach to machine learning uses heuristic search that seeks to find a minimum number of …

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. In …

An algorithm is presented to train a special kind of a local basis function classifier. The so-
called" rectangular basis function network"(RecBFN) consists of hidden units, each covering …