Association Rule Mining (ARM) is an important data mining technique for finding frequent
terms that are very useful in evaluating and recommending a range of activities a business …

In this study, it is aimed to develop a user-friendly, interactive web software for association
rules mining. In the developed software, among the association rule methods; Filtered …

This study aimed to reveal the relationships between faculty members' gender and Internet
usage time (daily usage time and years of use), their use of online environments, their digital …

The purpose of this study is to test the relationships between teacher candidates' technology
addiction and their social connectedness. Students studying at a faculty of education in a …

Amaç: Çalışma kapsamında, Balıkesir ilinde faaliyet gösteren ve Küçük ve Orta Ölçekli
İşletmeleri Geliştirme Başkanlığı (KOSGEB), Kredi Garanti Fonu (KGF) ve Güney Marmara …

Construction is one of the most energy-intensive sectors in the world. To scale down the
energy demand of the building sector, some changes must be made. Formal …

This study aimed to investigate the university students' usage of smartphones in-class and
reveal the relationships among the frequency of use, the purpose of use, reasons for the …

The aim of this study was to investigate the relationships between digital well-being, digital
hoarding, and mobile information security awareness. The study employed data mining …

ÖzBüyük miktardaki veri yığınları içerisinden anlamlı ve kullanılabilir olan bilgileri ortaya
çıkarabilmek için verimadenciliği teknikleri ve algoritmaları kullanılmaktadır. Birliktelik …

Döviz piyasaları, emtia piyasaları ve gelişmekte olan ülkelerin borsa endekslerinin Bist100
üzerindeki etkisi oldukça önemlidir. Ülke ekonomileri hem kendi hem de diğer ülkelerin …