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VERİ MADENCİLİĞİ YÖNTEMİ İLE GSM ŞEBEKELERİNİN PERFORMANS ANALİZİ.

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Title: VERİ MADENCİLİĞİ YÖNTEMİ İLE GSM ŞEBEKELERİNİN PERFORMANS ANALİZİ.
Alternate Title: PERFORMANCE ANALYSIS OF GSM NETWORKS WITH DATA MINING METHOD.
Authors: SAVAŞ, Serkan1 serkansavas@hotmail.com, TOPALOĞLU, Nurettin2 nurettin@gazi.edu.tr
Source: Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. Dec2011, Vol. 26 Issue 4, p741-751. 11p. 1 Color Photograph, 6 Charts, 2 Graphs, 1 Map.
Subjects: GSM communications, Database design software, Data mining, Cluster analysis (Statistics)
Abstract (English): 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 FROM AUTHOR]
Abstract (Turkish): 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, is the property of Gazi University, Faculty of Engineering & Architecture and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Abstract: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 FROM AUTHOR]
ISSN:13001884