Data Mining Through Data Visualization: A Case Study on Predicting Churners on Telecomunications Data Set

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dc.contributor.authorBaşarslan, Muhammet Sinan
dc.contributor.authorKayaalp, Fatih
dc.date.accessioned2020-04-30T14:41:43Z
dc.date.available2020-04-30T14:41:43Z
dc.date.issued2018
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractData mining is the process of extracting meaningfulinformation from a large, raw data. These processes are carriedout by various, detailed methods. And, the obtained results areused to make various interpretations and to draw conclusions.Deductions can either be made by interpreting the data aftervarious operations or by plotting the data in various forms ofgraphs. This type of interpretation over graphics is called datamining through data visualization. Generating graphs that can beused to draw various conclusions on a telecommunications dataset with the help of some packages included in the R program ispresented in the paper. It does not require upper-level math skillsto interpret these graphics; and everyone having knowledgeabout the industry and data set of the graphs has the ability toplot similar graphs and make analysis and interpretationsregarding the results obtained on the data set at hand. In thisstudy, R language was preferred as the software infrastructurefor data mining applications, and graphs were plotted forinterpretation through data visualization with data miningen_US
dc.identifier.doi10.17694/bajece.410243en_US
dc.identifier.endpage49en_US
dc.identifier.issn2147-284X
dc.identifier.startpage42en_US
dc.identifier.urihttps://doi.org/10.17694/bajece.410243
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TWpreU1UYzNOdz09
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2093
dc.identifier.volume6en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectBilgi Sistemlerien_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectDonanım ve Mimarien_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectSibernitiken_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectTeori ve Metotlaren_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectYapay Zekaen_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectYazılım Mühendisliğien_US
dc.subjectMühendisliken_US
dc.subjectBiyotıpen_US
dc.subjectMühendisliken_US
dc.subjectElektrik ve Elektroniken_US
dc.subjectTelekomünikasyonen_US
dc.subjectYeşilen_US
dc.subjectSürdürülebilir Bilim ve Teknolojien_US
dc.titleData Mining Through Data Visualization: A Case Study on Predicting Churners on Telecomunications Data Seten_US
dc.typeArticleen_US

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