A review of clustering models in educational data science toward fairness-aware learning
Ensuring fair access to quality education is essential for every education system to fully
realize every student's potential. Nowadays, machine learning (ML) is transforming …
realize every student's potential. Nowadays, machine learning (ML) is transforming …
Research on learning behavior patterns from the perspective of educational data mining: Evaluation, prediction and visualization
G Feng, M Fan - Expert Systems with Applications, 2024 - Elsevier
The rapid growth of educational data creates the requirement to mine useful information
from learning behavior patterns. The development of data mining technology makes …
from learning behavior patterns. The development of data mining technology makes …
Big data in education: present and future
J Nayak, H Swapnarekha, AR Routray… - … Intelligence in Data …, 2022 - Springer
Any mechanism aims to formulate the existence of a human being simple and comfortable.
Big data is using to take out the important data from a huge quantity of structured and …
Big data is using to take out the important data from a huge quantity of structured and …
Fuzzy Logic-Based Software Systems
K Chrysafiadi - Fuzzy Logic-Based Software Systems, 2023 - Springer
Fuzzy logic was introduced by Lotfi A. Zadeh in 1965 as a methodology for computing with
words and since then it is used extensively. It is an artificial intelligent technique that is ideal …
words and since then it is used extensively. It is an artificial intelligent technique that is ideal …
Student Clustering Through KMeans to Enhance Teaching
A Jiménez-Macías, PJ Muñoz-Merino… - 2024 XVI Congreso de …, 2024 - ieeexplore.ieee.org
Learning strategies play a vital role in education, and focusing on teaching methods may
promote the development of process-oriented competencies. Educators are looking for ways …
promote the development of process-oriented competencies. Educators are looking for ways …
Estudio comparativo de técnicas de minería de datos para develar patrones de desempeño académico en enseñanza media
DC Chamorro-Sangoquiza… - Revista Ibérica de …, 2020 - search.proquest.com
The data mining techniques allow for unveiling knowledge from large volumes of
information, which have recently been explored in information analysis by educational …
information, which have recently been explored in information analysis by educational …
[PDF][PDF] CLUSTERING IN DATA MINING: TECHNIQUES, ADVANTAGES, APPLICATIONS, AND CHALLENGES
G Kudale, SS Rajpoot - ijeset.com
Clustering is a technique that groups similar data points together for analysis and pattern
discovery across various fields like machine learning, data mining, and image analysis. Its …
discovery across various fields like machine learning, data mining, and image analysis. Its …
Stepwise Iterative Maximum Likelihood Clustering Based on Kompetisi Sains Madrasah' Scores for Identifying Quality of Junior High School Grading Distribution
Abstract Kompetisi Sains Madrasah (KSM) is a science competition organized by the
Ministry of Religious Affairs Indonesia. KSM scores can help to determine the quality …
Ministry of Religious Affairs Indonesia. KSM scores can help to determine the quality …