Relationships between length and coverage of decision rules

Talha M. Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko

doi:10.3233/FI-2014-956

Relationships between length and coverage of decision rules

Talha M. Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

The paper describes a new tool for study relationships between length and coverage of exact decision rules. This tool is based on dynamic programming approach. We also present results of experiments with decision tables from UCI Machine Learning Repository.

Original language	English (US)
Pages (from-to)	1-13
Number of pages	13
Journal	Fundamenta Informaticae
Volume	129
Issue number	1-2
DOIs	https://doi.org/10.3233/FI-2014-956
State	Published - Feb 14 2014

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

Computational Theory and Mathematics
Algebra and Number Theory
Theoretical Computer Science
Information Systems

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10.3233/FI-2014-956

Cite this

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title = "Relationships between length and coverage of decision rules",

abstract = "The paper describes a new tool for study relationships between length and coverage of exact decision rules. This tool is based on dynamic programming approach. We also present results of experiments with decision tables from UCI Machine Learning Repository.",

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AU - Chikalov, Igor

AU - Moshkov, Mikhail

AU - Zielosko, Beata

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PY - 2014/2/14

Y1 - 2014/2/14

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AB - The paper describes a new tool for study relationships between length and coverage of exact decision rules. This tool is based on dynamic programming approach. We also present results of experiments with decision tables from UCI Machine Learning Repository.

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Relationships between length and coverage of decision rules

Abstract

Bibliographical note

ASJC Scopus subject areas

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