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

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....

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Bibliographic Details

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
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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