Data mining in education is steadily gaining momentum to explore the learning analytics
because of its easy to use with any programming knowledge. This emerging method …

In December 2019, a novel coronavirus, now named SARS-CoV-2, caused a series of acute
atypical respiratory diseases in Wuhan, Hubei province, China. It triggered several acute …

This paper introduces the utilization of two different optimization models as a decision-
making tool for municipal solid waste management. This study aims to provide a framework …

The curse of dimensionality, due to lots of network-traffic attributes, has a negative impact on
machine learning algorithms in detecting distributed denial of service (DDoS) attacks. This …

State-of-the-art data mining tools incorporate advanced machine learning (ML) and artificial
intelligence (AI) models, and it is widely used in classification, association rules, clustering …

Bu çalışma, gelişmekte olan Türkiye'nin ülke gruplarına göre ithalat ve ihracatının kümeleme
analizi ile incelenmesini amaçlamaktadır. Küreselleşme ve uluslararası ticaretin giderek …

Currently, cases of data breaches are prevalent, partly due to the inability of the Intrusion
Detection Systems (IDS) used to offer on-demand network protection through real-time …

Distributed denial of service (DDoS) attack detection methods based on the clustering
method are ineffective in detecting attacks correctly. Service interruptions caused by DDoS …

The aim of this study, which deals with consumer default risk, is to reveal the financial,
socioeconomic and demographic determinants of default risk at household level. Credit risk …

Ekonomik süreçlerin hızla değiştiği günümüz dünyasında dış ticaret her geçen gün daha da
önemli hale gelmekte olup ülkeler ekonomik kalkınma açısından ihracatı önemli bir araç …