The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification

• Published in: European journal of operational research Vol. 169; no. 3; pp. 898 - 917
• Main Authors: de la Iglesia, B., Richards, G., Philpott, M.S., Rayward-Smith, V.J.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 16.03.2006; Elsevier; Elsevier Sequoia S.A
• Series: European Journal of Operational Research
• Subjects: Algorithms; Association rule discovery; Data mining; Effectiveness; Heuristic; Multi-objective metaheuristics; Operations research; Pareto optimum; Rule extraction; Studies; Multi-objective metaheuristics; Data mining; Association rule discovery; Rule extraction

In this paper, we present an application of multi-objective metaheuristics to the field of data mining. We introduce the data mining task of nugget discovery (also known as partial classification) and show how the multi-objective metaheuristic algorithm NSGA II can be modified to solve this problem....