[PDF][PDF] Identifying the classification performances of educational data mining methods: A case study for TIMSS

SK Depren, ÖE Aşkın, E Öz - Educational Sciences: Theory & …, 2017 - academia.edu
Educational data mining (EDM) is a rapidly growing research area, and the outputs obtained
from EDM shed light on educators' and education planners' efforts to make efficient …

Investigation of ensemble methods in terms of statistics: TIMMS 2019 example

Ö Bezek Güre - Neural Computing and Applications, 2023 - Springer
In this study, it is aimed to determine the factors affecting the mathematics achievements of
eighth-grade students through trends in international mathematics and science study 2019 …

Finding the Best Algorithms and Effective Factors in Classification of Turkish Science Student Success.

E Filiz, E Öz - Journal of Baltic Science Education, 2019 - ceeol.com
Educational Data Mining (EDM) is an important tool in the field of classification of
educational data that helps researchers and education planners analyse and model …

Educational data mining methods for TIMSS 2015 mathematics success: Turkey case

E Filiz, E Öz - Sigma Journal of Engineering and Natural Sciences, 2020 - dergipark.org.tr
Educational data mining (EDM) is an important research area which has an ability of
analyzing and modeling educational data. Obtained outputs from EDM help researchers and …

Fatigue driving prediction on commercial dangerous goods truck using location data: the relationship between fatigue driving and driving environment

S Niu, G Li - Journal of advanced transportation, 2020 - Wiley Online Library
The approaches monitoring fatigue driving are studied because of the fact that traffic
accidents caused by fatigue driving often have fatal consequences. This paper proposes a …

[PDF][PDF] Study of the Factors Affecting the Mathematics Achievement of Turkish Students According to Data from the Programme for International Student Assessment …

CO Güzeller, MT Eser, G Aksu - International Journal of …, 2016 - ijpe.penpublishing.net
This study attempts to determine the factors affecting the mathematics achievement of
students in Turkey based on data from the Programme for International Student Assessment …

Classification of nucleotide sequences for quality assessment using logistic regression and decision tree approaches

S Kurt, E Öz, ÖE Aşkın, YY Öz - Neural Computing and Applications, 2018 - Springer
Abstract Knowledge of DNA sequences is indispensable for basic biological research. Many
researchers use DNA sequencing for various purposes including molecular biology …

Comparison of neural networks and logistic regression in assessing the occurrence of failures in steel structures of transmission lines

ACG Bissacot, SAB Salgado… - The Open Electrical …, 2016 - benthamopen.com
In this work, we evaluate the probability of falling metal structures from transmission lines. It
is our objective to extract knowledge about which variables influence the mechanical …

A Regression Analysis Approach for Feature Selection in Student Achievement Data

AM ElMassry, A Alshamsi… - … on Innovations in …, 2023 - ieeexplore.ieee.org
TIMSS is a global standardized assessment of mathematics and science knowledge, skills,
and achievement of students in grades four and eight. The data generated from the 64 …

The Classification Method for Risks of Dropout Students: a Case Study of Vocational Students

M Yaibuates, K Kantawong, S Pravesjit… - … on Digital Arts …, 2022 - ieeexplore.ieee.org
The paper proposes the new classification methodology using risk distance (RD). From 553
example students in the Chiang Rai Vocational College, dropout risk factors were chosen …