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A novel chemistry based metaheuristic optimization method for mining of classification rules

MakaleYalnız künyeScopus SJRQ1

Özet

When investigated carefully, chemical reactions possess efficient objects, states, process, and events that can be designed as a computational method en bloc. In this study, a novel computational method, which is robust and have less parameters than that of used in the literature, is intended to be developed inspiring from types and occurring of chemical reactions. The proposed method is named as artificial chemical reaction optimization algorithm, ACROA. In this study, one of the first applications of this method has been performed in classification rule discovery field of data mining and efficiency has been demonstrated. (C) 2012 Elsevier Ltd. All rights reserved.

Anahtar Kelimeler

Artificial chemical reaction optimization algorithmData miningClassification rulesHeuristic optimizationPerformanceUniform population
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/munzur/4683Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1016/j.eswa.2012.03.066Yayıncı resmi DOI adresi
İndeks kayıtları
Web of ScienceWeb of Science
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
WoS
59
OpenAlex
75
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorAlatas, Bilal
dc.date.accessioned2026-10-28T15:03:37.137154240Z
dc.date.available2026-10-28T15:03:37.137154240Z
dc.date.issued2012-09
dc.description.abstractWhen investigated carefully, chemical reactions possess efficient objects, states, process, and events that can be designed as a computational method en bloc. In this study, a novel computational method, which is robust and have less parameters than that of used in the literature, is intended to be developed inspiring from types and occurring of chemical reactions. The proposed method is named as artificial chemical reaction optimization algorithm, ACROA. In this study, one of the first applications of this method has been performed in classification rule discovery field of data mining and efficiency has been demonstrated. (C) 2012 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipTurkish Scientific and Technical Research Council - TUBITAK [MAG-110M309]
dc.identifier.doi10.1016/j.eswa.2012.03.066
dc.identifier.eissn1873-6793
dc.identifier.endpage11088
dc.identifier.issn0957-4174
dc.identifier.issue12
dc.identifier.startpage11080
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/4683
dc.identifier.volume39
dc.identifier.wosWOS:000305863300077
dc.language.isoen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial chemical reaction optimization algorithm
dc.subjectData mining
dc.subjectClassification rules
dc.subjectHeuristic optimization
dc.subjectPerformance
dc.subjectUniform population
dc.subject.classificationComputer Science, Artificial Intelligence
dc.subject.classificationEngineering, Electrical & Electronic
dc.subject.classificationOperations Research & Management Science
dc.subject.classificationComputer Science
dc.subject.classificationEngineering
dc.subject.otherPARTICLE SWARM OPTIMIZATION
dc.subject.otherCENTRAL FORCE OPTIMIZATION
dc.subject.otherARTIFICIAL IMMUNE-SYSTEM
dc.subject.otherGENETIC ALGORITHM
dc.subject.otherNEURAL-NETWORKS
dc.subject.otherSEARCH
dc.titleA novel chemistry based metaheuristic optimization method for mining of classification rules
dc.typeArticle
rdl.citation.openalex75
rdl.citation.wos59
rdl.oa.statusclosed
rdl.scopus.quartileQ1
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)