Data mining methods can be used to create models that
will help in making meaningful deductions or even future predictions by
establishing relationships within records which have values that can not be
understood alone. In this study, a data set was created through the voluntary
participation of Trakya University, Tunca Vocational School (Distance
Education) students to a questionnaire. Weka, a data mining application, was
used to analyze the survey results. The most successful models on Weka for the
relevant data set and the attributes that affect student success were
investigated.
Bölüm | Articles |
---|---|
Yazarlar | |
Yayımlanma Tarihi | 9 Aralık 2017 |
Yayımlandığı Sayı | Yıl 2017 Cilt: 8 |