Multi-Objective Metaheuristic Algorithms for Finding Interesting Rules in Large Complex Databases

The research was concerned with developing efficient algorithms for finding classification rules from large databases. The data mining task of classification is concerned with finding patterns in classification data, that is, data which has a class label for each instance or record in the database. When the classification task is restricted to a pre-defined class label, the data mining task is known as partial classification or nugget discovery. The patterns sought for this task are class descriptions, often of the general form