Narrow Results

Classification rules (if-then rules) are an intuitive way of performing classification, and they are a popular alternative to decision trees. Covering algorithms are one of the most well-studied methods for inducing classification rules from training sets. This chapter discusses basic covering algorithms and illustrates them with simple examples that capture the essence of the problems. In addition, some of the current applications of covering algorithms are reviewed.