Length and coverage of inhibitory decision rules

Fawaz Alsolami; Igor Chikalov; Mikhail Moshkov; Beata Zielosko

doi:10.1007/978-3-642-34707-8_33

Length and coverage of inhibitory decision rules

Fawaz Alsolami, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Authors present algorithms for optimization of inhibitory rules relative to the length and coverage. Inhibitory rules have a relation "attribute ≠ value" on the right-hand side. The considered algorithms are based on extensions of dynamic programming. Paper contains also comparison of length and coverage of inhibitory rules constructed by a greedy algorithm and by the dynamic programming algorithm. © 2012 Springer-Verlag.

Original language	English (US)
Title of host publication	Computational Collective Intelligence. Technologies and Applications
Publisher	Springer Nature
Pages	325-334
Number of pages	10
ISBN (Print)	9783642347061
DOIs	https://doi.org/10.1007/978-3-642-34707-8_33
State	Published - 2012

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-642-34707-8_33

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title = "Length and coverage of inhibitory decision rules",

abstract = "Authors present algorithms for optimization of inhibitory rules relative to the length and coverage. Inhibitory rules have a relation {"}attribute ≠ value{"} on the right-hand side. The considered algorithms are based on extensions of dynamic programming. Paper contains also comparison of length and coverage of inhibitory rules constructed by a greedy algorithm and by the dynamic programming algorithm. {\textcopyright} 2012 Springer-Verlag.",

author = "Fawaz Alsolami and Igor Chikalov and Mikhail Moshkov and Beata Zielosko",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2012",

doi = "10.1007/978-3-642-34707-8_33",

language = "English (US)",

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T1 - Length and coverage of inhibitory decision rules

AU - Alsolami, Fawaz

AU - Chikalov, Igor

AU - Moshkov, Mikhail

AU - Zielosko, Beata

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2012

Y1 - 2012

N2 - Authors present algorithms for optimization of inhibitory rules relative to the length and coverage. Inhibitory rules have a relation "attribute ≠ value" on the right-hand side. The considered algorithms are based on extensions of dynamic programming. Paper contains also comparison of length and coverage of inhibitory rules constructed by a greedy algorithm and by the dynamic programming algorithm. © 2012 Springer-Verlag.

AB - Authors present algorithms for optimization of inhibitory rules relative to the length and coverage. Inhibitory rules have a relation "attribute ≠ value" on the right-hand side. The considered algorithms are based on extensions of dynamic programming. Paper contains also comparison of length and coverage of inhibitory rules constructed by a greedy algorithm and by the dynamic programming algorithm. © 2012 Springer-Verlag.

UR - http://hdl.handle.net/10754/564503

UR - http://link.springer.com/10.1007/978-3-642-34707-8_33

UR - http://www.scopus.com/inward/record.url?scp=84870930925&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-34707-8_33

DO - 10.1007/978-3-642-34707-8_33

M3 - Conference contribution

SN - 9783642347061

SP - 325

EP - 334

BT - Computational Collective Intelligence. Technologies and Applications

PB - Springer Nature

ER -

Length and coverage of inhibitory decision rules

Abstract

ASJC Scopus subject areas

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