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VERİ MADENCİLİĞİ YÖNTEMİ İLE GSM ŞEBEKELERİNİN PERFORMANS ANALİZİ

PERFORMANCE ANALYSIS OF GSM NETWORKS WITH DATA MINING METHOD

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Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In this study, a program, which creates a database by getting signal strength data of different GSM networks from mobile phones, is developed. The database is obtained by data which were collected by running program on a random route between center campus of Gazi University and Kızılcahamam County. These data are analyzed by using two step clustering method, which is a type of data mining method. The performance of A, B and C GSM networks is determined and network A has the highest signal strength, and the most stable signal level based on the signal strength classification, while network B has the highest signal ratio when the signal strength ranges is classified.
Abstract (Original Language): 
Bu çalışmada, farklı GSM şebekelerinin çekim gücü verilerini cep telefonlarından alarak veri tabanı oluşturan bir program geliştirilmiştir. Programın rastgele seçilen bir güzergâh olan Kızılcahamam ilçesi ile Gazi Üniversitesi Merkez Kampüsü arasında çalıştırılmasıyla elde edilen verilerden bir veri bankası oluşturulmuştur. Bu veriler, veri madenciliği yöntemlerinden iki aşamalı kümeleme tekniği kullanılarak analiz edilmiştir. Bu çalışmanın sonunda; A, B ve C şebekelerinin performansları belirlenmiş olup, sinyal gücü temel alındığında A şebekesinin en yüksek çekim gücüne ve istikrarlı çekim düzeyine, sinyal gücü aralıkları sınıflandırıldığında ise B şebekesinin en yüksek iyi sinyal oranına sahip olduğu gözlenmiştir.
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