Data Mining Through Data Visualization: A Case Study on Predicting Churners on Telecomunications Data Set
Yükleniyor...
Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Data 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 mining
Açıklama
Anahtar Kelimeler
Bilgisayar Bilimleri, Bilgi Sistemleri, Bilgisayar Bilimleri, Donanım ve Mimari, Bilgisayar Bilimleri, Sibernitik, Bilgisayar Bilimleri, Teori ve Metotlar, Bilgisayar Bilimleri, Yapay Zeka, Bilgisayar Bilimleri, Yazılım Mühendisliği, Mühendislik, Biyotıp, Mühendislik, Elektrik ve Elektronik, Telekomünikasyon, Yeşil, Sürdürülebilir Bilim ve Teknoloji
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
6
