An Evolutionary Algorithm for Automated Discovery of Small-Disjunct Rules

An immunological algorithm for discovering small-disjunct rules in data mining

In essence, small disjuncts are rules covering a small number of examples. Although each small disjunct covers a small number of examples, the set of all small disjuncts can collectively cover a large number of examples. Indeed, this work presents evidence that this is the case. This work also proposes a hybrid decision tree/immunological algorithm method to cope with the problem of small disju...

A Parallel Evolutionary Algorithm for Discovery of Decision Rules

In the paper a new parallel method for learning decision rules is proposed. The method uses evolutionary algorithm to discover decision rules from datasets. We describe a parallelization of the algorithm based on master-slave model. In our approach the dataset is distributed among slave processors of a parallel system. The slave procesors compute fitness function of chromosomes in parallel. The...

A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules

This work addresses the well-known classification task of data mining. In this context, small disjuncts are classification rules covering a small number of examples. One approach for coping with small disjuncts, proposed in our previous work, consists of using a decisiontree/genetic algorithm method. The basic idea is that examples belonging to large disjuncts are classified by rules produced b...

A genetic-algorithm for discovering small-disjunct rules in data mining

This paper addresses the well-known classification task of data mining, where the goal is to discover rules predicting the class of examples (records of a given data set). In the context of data mining, small disjuncts are rules covering a small number of examples. Hence, these rules are usually error-prone, which contributes to a decrease in predictive accuracy. At first glance, this is not a ...

Evolutionary Algorithm Based Automated Reverse Engineering and Defect Discovery