Emerging and Vanishing Association Pattern Mining in Hydroclimatic Datasets

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dc.contributor.authorÇelik, Mete
dc.contributor.authorDokuz, Ahmet Şakir
dc.contributor.authorÇelik, Filiz Dadaşer
dc.date.accessioned2024-11-07T13:20:07Z
dc.date.available2024-11-07T13:20:07Z
dc.date.issued2018
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractEmerging and vanishing association patterns can be defined as association patterns whose frequencies (supports) get strongerand weaker over time, respectively. Discovering these patterns is important for several application domains such as financial andcommunication services, public health, and hydroclimatic studies. Classical association pattern mining algorithms do not considerhow the strengths of association patterns change over time. An association pattern can be defined as an emerging or vanishing patternwhen its support measure changes over time. In this paper, we focus on discovery of time evolving association patterns (i.e., emergingand vanishing association patterns) from datasets. To discover such patterns, a novel algorithm, named as Emerging and VanishingAssociation Pattern Miner (EVAPMiner) algorithm, was proposed. The proposed algorithm was evaluated using hydroclimatic datasetof Turkey. The analyses showed that the proposed algorithm successfully detects emerging and vanishing association patterns inhydroclimatic datasets.
dc.identifier.endpage37
dc.identifier.issn2146-4987
dc.identifier.issn2146-7277
dc.identifier.issue1
dc.identifier.startpage30
dc.identifier.trdizinid320449
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/320449
dc.identifier.urihttps://hdl.handle.net/11480/13624
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofKaraelmas Fen ve Mühendislik Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241107
dc.subjectSu Kaynakları
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectÇevre Bilimleri
dc.subjectİstatistik ve Olasılık
dc.titleEmerging and Vanishing Association Pattern Mining in Hydroclimatic Datasets
dc.typeArticle

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