Association rule mining is a technique that is widely used in data mining. This technique is
used to identify interesting relationships between sets of items in a dataset and predict …

Determining minimum support value on association rule is not easy to users. Hurdles such
as data locations and data origins are a mountain that should be overcome by association …

This paper presents the optimized back propagation neural network (BPNN) method for fault
diagnosis of the variable refrigerant flow air conditioning (VRF) system in the heating mode …

Pattern mining has been widely studied in the last decade given its great interest for
research and its numerous applications in the real world. In this paper the definition of query …

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 paper presents a Sugeno Adaptive Neuro-Fuzzy Inference System with parametric
conjunction operations architecture, ANFIS-CX. The advantages of using parametric …

Sayısal yetkinlik bireyin sayısal teknolojileri bilgi toplumunun gereklerine uygun olarak etkili
ve verimli kullanmaktır. Sayısal yetkinliğin diğer bir boyutu da çevrimiçi ortamlarda bilgi …

This paper describes a new and larger coverage Finite-State Morphological Analyser (FSM)
and Generator for the Dravidian language Tamil. The FSM has been developed in the …

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 …

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 …