Generating rule sets from model trees

About this item

Title

Generating rule sets from model trees

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

Knowledge discovered in a database must be represented in a form that is easy to understand. Small, easy to interpret nuggets of knowledge from data are one requirement and the ability to induce them from a variety of data sources is a second. The literature is abound with classification algorithms, and in recent years with algorithms for time sequence analysis, but relatively little has been published on extracting meaningful information from problems involving continuous classes (regression...

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Format

Research paper

Research format

Working or discussion paper

Date created

1999-03

Creator

Holmes, Geoffrey / Hall, Mark A. / Frank, Eibe

URL

https://hdl.handle.net/10289/1031

Related subjects

computer science / Machine learning

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