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Understanding the crucial differences between classification and discovery of association rules: a position paper

Understanding the crucial differences between classification and discovery of association rules:... 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGKDD Explorations Newsletter Association for Computing Machinery

Understanding the crucial differences between classification and discovery of association rules: a position paper

ACM SIGKDD Explorations Newsletter , Volume 2 (1) – Jun 1, 2000

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2000 by ACM Inc.
ISSN
1931-0145
DOI
10.1145/360402.360423
Publisher site
See Article on Publisher Site

Abstract

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

Journal

ACM SIGKDD Explorations NewsletterAssociation for Computing Machinery

Published: Jun 1, 2000

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