One of the known classification approaches in data mining is rule induction (RI). RI algorithms
such as PRISM usually produce If-Then classifiers, which have a comparable predictive …

… Next, all instances covered by the learned rule set are removed from the dataset, and IREP
is … metric to guide rule pruning and an MDL-based heuristic for determining how many rules …

… induction algorithm, IGR, that uses each training instances as a guide of rule induction…
IGR learns a set of if-then rules by inducing a pseudo-optimun classification rule for each …

… After explaining how to download the source code, the reader is guided through … rule says
that for every instance of the head the body must be provable. This means that the target rule …

… evaluation stage for rule filtering. To address these issues, this paper proposes a Ontology
and Instance Guided Rule Learning (OIRL) approach to enhance rule learning on knowledge …

… -sampling procedure guided by evolutionary algorithms to … and the rule sets obtained by
PART rule induction algorithm. … with the model induced by using the instances selected in S . …

… now interpreting as an instance, provides a partial test of the consistency of the rules. The …
by using information available in each space to guide search in the other. By focussing our …

… induction algorithm, IGR, that uses each training instances as a guide of rule induction…
IGR learns a set of if-then rules by inducing a pseudo-optimun classification rule for each …

… The evolutionary algorithm described in this paper induces fuzzy rules guided by the …
finished and a fuzzy rule has been obtained, the positive instances of the rule (covered examples) …

… through the space of rules is guided by heuristics as opposed … for rule induction and hence
new rules are induced. The … the most previously uncovered instance nodes and forms a rule. If …