Çelik, MeteDokuz, Ahmet ŞakirÇelik, Filiz Dadaşer2024-11-072024-11-0720182146-49872146-7277https://search.trdizin.gov.tr/tr/yayin/detay/320449https://hdl.handle.net/11480/13624Emerging 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.eninfo:eu-repo/semantics/openAccessSu KaynaklarıBilgisayar BilimleriYazılım MühendisliğiÇevre Bilimleriİstatistik ve OlasılıkArticle813037320449