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2007

Decision-tree instance-space decomposition with grouped gain-ratio

13 years 3 months ago
Decision-tree instance-space decomposition with grouped gain-ratio
This paper examines a decision-tree framework for instance-space decomposition. According to the framework, the original instance-space is hierarchically partitioned into multiple subspaces and a distinct classifier is assigned to each subspace. Subsequently, an unlabeled, previously-unseen instance is classified by employing the classifier that was assigned to the subspace to which the instance belongs. After describing the framework, the paper suggests a novel splitting-rule for the framework and presents an experimental study, which was conducted, to compare various implementations of the framework. The study indicates that using the novel splitting-rule, previously presented implementations of the framework, can be improved in terms of accuracy and computation time.
Shahar Cohen, Lior Rokach, Oded Maimon
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where ISCI
Authors Shahar Cohen, Lior Rokach, Oded Maimon
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