Time series analysis for education: Methods, applications, and future directions
Recent advancements in the collection and analysis of sequential educational data have
brought time series analysis to a pivotal position in educational research, highlighting its …
brought time series analysis to a pivotal position in educational research, highlighting its …
[PDF][PDF] Student Performance on an E-Learning Platform: Mixed Method Approach.
E-learning is considered a leading application of digital technologies in educational
systems. The aim of the paper is to explore the utilization and impact of digital technologies …
systems. The aim of the paper is to explore the utilization and impact of digital technologies …
Social media sentiment analysis using K-means and naïve bayes algorithm
MI Zul, F Yulia, D Nurmalasari - 2018 2nd International …, 2018 - ieeexplore.ieee.org
Opinions are a major influence when making decisions for individuals or organizations. A
collection of opinions can be extracted to gain useful knowledge. This knowledge is used as …
collection of opinions can be extracted to gain useful knowledge. This knowledge is used as …
A recommendation approach in social learning based on k-means clustering
S Souabi, A Retbi, MK Idrissi… - … Conference on Intelligent …, 2020 - ieeexplore.ieee.org
Social networks are a powerful and efficient tool for e-learning promoting collaboration
between learners. Thus, to better manage the learning process within these environments, it …
between learners. Thus, to better manage the learning process within these environments, it …
Comparison of K-Means & K-Means++ Clustering Models using Singular Value Decomposition (SVD) in Menu Engineering
The menu is one of the most fundamental aspects of business continuity in the culinary
industry. One of the tools that can be used for menu analysis is menu engineering. Menu …
industry. One of the tools that can be used for menu analysis is menu engineering. Menu …
[HTML][HTML] Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical Records
T Velez, T Wang, B Garibaldi, E Singman… - JMIR Formative …, 2023 - formative.jmir.org
Background: There is significant heterogeneity in disease progression among hospitalized
patients with COVID-19. The pathogenesis of SARS-CoV-2 infection is attributed to a …
patients with COVID-19. The pathogenesis of SARS-CoV-2 infection is attributed to a …
Educational Data Mining to Improve Decision Support on the Ratio of students and Study Groups in Elementary Schools in Indonesia using K-Means Method.
In the world of education, the process of processing space in learning activities is very
important. This is in order to prevent unwanted behavior and can direct student activities …
important. This is in order to prevent unwanted behavior and can direct student activities …
K-affinity propagation (K-ap) and K-means clustering for classification of earthquakes in Indonesia
Indonesia is located among three plate tectonics and ring of fire cause to be disaster prone
especially to the earthquakes. Indonesia is the state of being having a level by earthquake …
especially to the earthquakes. Indonesia is the state of being having a level by earthquake …
PAACDA: Comprehensive Data Corruption Detection Algorithm
With the advent of technology, data and its analysis are no longer just values and attributes
strewn across spreadsheets, they are now seen as a stepping stone to bring about …
strewn across spreadsheets, they are now seen as a stepping stone to bring about …
Utilizing Clustering Algorithms to Provide Vark Learning Style Recommendations
The term" learning style" refers to the approach preferred by individuals to acquiring
knowledge. Fleming and Mills introduced an interesting method called VARK (Visual, Audio …
knowledge. Fleming and Mills introduced an interesting method called VARK (Visual, Audio …