Relationships between length and coverage of exact decision rules

Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko

Relationships between length and coverage of exact decision rules

Talha Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Contribution to journal › Conference article › peer-review

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)	1-12
Number of pages	12
Journal	CEUR Workshop Proceedings
Volume	928
State	Published - 2012
Event	21th International Workshop on Concurrency, Specification and Programming, CS and P 2012 - Berlin, Germany Duration: Sep 26 2012 → Sep 28 2012

Keywords

Coverage
Decision rules
Dynamic programming
Length

ASJC Scopus subject areas

General Computer Science

Cite this

@article{f598d84193424cd6a14f5afdfd060fa8,

title = "Relationships between length and coverage of exact 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.",

keywords = "Coverage, Decision rules, Dynamic programming, Length",

author = "Talha Amin and Igor Chikalov and Mikhail Moshkov and Beata Zielosko",

year = "2012",

language = "English (US)",

volume = "928",

pages = "1--12",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "21th International Workshop on Concurrency, Specification and Programming, CS and P 2012 ; Conference date: 26-09-2012 Through 28-09-2012",

}

TY - JOUR

T1 - Relationships between length and coverage of exact decision rules

AU - Amin, Talha

AU - Chikalov, Igor

AU - Moshkov, Mikhail

AU - Zielosko, Beata

PY - 2012

Y1 - 2012

N2 - 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.

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.

KW - Coverage

KW - Decision rules

KW - Dynamic programming

KW - Length

UR - http://www.scopus.com/inward/record.url?scp=84891814522&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84891814522

SN - 1613-0073

VL - 928

SP - 1

EP - 12

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 21th International Workshop on Concurrency, Specification and Programming, CS and P 2012

Y2 - 26 September 2012 through 28 September 2012

ER -

Relationships between length and coverage of exact decision rules

Abstract

Keywords

ASJC Scopus subject areas

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Cite this