Students' performance in interactive environments: an intelligent model
Modern approaches in education technology, which make use of advanced resources such
as electronic books, infographics, and mobile applications, are progressing to improve …
as electronic books, infographics, and mobile applications, are progressing to improve …
An efficient boosted C5. 0 decision-tree-based classification approach for detecting non-technical losses in power utilities
Electricity fraud in billing are the primary concerns for Distribution System Operators (DSO).
It is estimated that billions of dollars are wasted annually due to these illegal activities. DSOs …
It is estimated that billions of dollars are wasted annually due to these illegal activities. DSOs …
[PDF][PDF] Hybrid machine learning algorithms for predicting academic performance
P Sokkhey, T Okazaki - Int. J. Adv. Comput. Sci. Appl, 2020 - academia.edu
The large volume of data and its complexity in educational institutions require the sakes from
informative technologies. In order to facilitate this task, many researchers have focused on …
informative technologies. In order to facilitate this task, many researchers have focused on …
Clustering-based EMT model for predicting student performance
Predicting students' performance has emerged as an attractive task among researchers.
They use supervised and unsupervised educational data mining (EDM) techniques to build …
They use supervised and unsupervised educational data mining (EDM) techniques to build …
[PDF][PDF] Classification of multiclass imbalanced data using cost-sensitive decision tree C5. 0
The multiclass imbalanced data problems in data mining were interesting cases to study
currently. The problems had an influence on the classification process in machine learning …
currently. The problems had an influence on the classification process in machine learning …
AcneGrader: An ensemble pruning of the deep learning base models to grade acne
Background Acne is one of the most common skin lesions in adolescents. Some severe or
inflammatory acne leads to scars, which may have major impacts on patients' quality of life …
inflammatory acne leads to scars, which may have major impacts on patients' quality of life …
[PDF][PDF] Breast cancer disease classification using fuzzy-ID3 algorithm based on association function
Breast cancer is the second leading cause of mortality among female cancer patients
worldwide. Early detection of breast cancer is considerd as one of the most effective ways to …
worldwide. Early detection of breast cancer is considerd as one of the most effective ways to …
[PDF][PDF] Palmprint recognition system based on proposed features extraction and (c5. 0) decision tree, k-nearest neighbour (knn) classification approaches
In the biometrics research area, palmprint recognition system is gaining the most popularity.
Significant performances have been achieved in the state-of-the-art palmprint recognition …
Significant performances have been achieved in the state-of-the-art palmprint recognition …
A Deep Neural Network in a Web-based Career Track Recommender System for Lower Secondary Education
JRD Atienza, RM Hernandez… - 2022 2nd Asian …, 2022 - ieeexplore.ieee.org
In this paper, web-based career track recommender system was used to guide guidance
counselor in assisting their students in choosing an appropriate career track. Many junior …
counselor in assisting their students in choosing an appropriate career track. Many junior …
[PDF][PDF] Implementation of Feature Selection Strategies to Enhance Classification Using XGBoost and Decision Tree
FEP Nadya, MFI Ferdiansyah… - Scientific Journal of …, 2024 - scholar.archive.org
Purpose: Grades in the world of education are often a benchmark for students to be
considered successful or not during the learning period. The facilities and teaching staff …
considered successful or not during the learning period. The facilities and teaching staff …