Emerging and Vanishing Association Pattern Mining in Hydroclimatic Datasets
Küçük Resim Yok
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Emerging 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.
Açıklama
Anahtar Kelimeler
Su Kaynakları, Bilgisayar Bilimleri, Yazılım Mühendisliği, Çevre Bilimleri, İstatistik ve Olasılık
Kaynak
Karaelmas Fen ve Mühendislik Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
1
