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Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper Alex A. Freitas Pontificia Universidade Catolica - Parana Dept. of Computer Science Rua Imaculada Conceicao, 1155 Curitiba - PR, 80215-901. Brazil http://www.ppgia.pucpr.br/~alex alex@ppgia.pucpr.br ABSTRACT The goal of this position paper is to contribute to a clear understanding of the profound differences between the association-rule discovery and the classification tasks. We argue that the classification task can be considered an ill-defined, nondeterministic task, which is unavoidable given the fact that it involves prediction; while the standard association task can be considered a well-defined, deterministic, relatively simple task, which does n o t involve prediction in the same sense as the classification task does. The goal of this position paper is to contribute to a clear understanding of the profound differences between the association-rule discovery and the classification tasks. Ivlore precisely, this position paper argues that there are crucial differences between the association-rule discovery and the classification task, and that these differences involve the key notion of prediction. We argue that the classification task can be considered an ill-defined, non-deterministic task, which is unavoidable given the fact that it involves prediction; while the standard association
ACM SIGKDD Explorations Newsletter – Association for Computing Machinery
Published: Jun 1, 2000
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