A data mining application on air temperature database

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dc.contributor.authorTugay Bilgin T.
dc.contributor.authorYilmaz Camurcu A.
dc.date.accessioned2024-07-12T21:51:44Z
dc.date.available2024-07-12T21:51:44Z
dc.date.issued2004en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractIn this study, a data mining application based on DBSCAN (Density Based Spatial Clustering of Applications with Noise) was carried out on air temperature database which contains daily temperature data from country wide meteorology stations in Turkey. At the end of data mining process, we obtained clusters that have similar temperature trends. These clusters have been used to categorize Turkey into regions according to climatic characteristics. Statistical methods are widely used in meteorology; however they need extreme computing power. Data mining methods provide more performance and reliability than statistical methods. © Springer-Verlag 2004.en_US
dc.identifier.endpage76en_US
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-35048816488en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage68en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8310
dc.identifier.volume3261en_US
dc.identifier.wosWOS:000225078900008en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY02184
dc.titleA data mining application on air temperature databaseen_US
dc.typeArticle
dspace.entity.typePublication

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