Analyzing student performance in programming education using classification techniques
In this research, we aggregated students log data such as Class Test Score (CTS),
Assignment Completed (ASC), Class Lab Work (CLW) and Class Attendance (CATT) from …
Assignment Completed (ASC), Class Lab Work (CLW) and Class Attendance (CATT) from …
[HTML][HTML] Predictive modeling for occupational safety outcomes and days away from work analysis in mining operations
A Yedla, FD Kakhki, A Jannesari - International journal of environmental …, 2020 - mdpi.com
Mining is known to be one of the most hazardous occupations in the world. Many serious
accidents have occurred worldwide over the years in mining. Although there have been …
accidents have occurred worldwide over the years in mining. Although there have been …
[PDF][PDF] Classification of multiclass imbalanced data using cost-sensitive decision tree C5. 0
MA Febriantono, SH Pramono… - IAES …, 2020 - download.garuda.kemdikbud.go.id
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 …
Predictive system: Comparison of classification techniques for effective prediction of heart disease
D Panda, SR Dash - … Computing and Applications: Proceedings of the …, 2020 - Springer
Today's world is challenging to most of its people with major concerns for keeping up a good
health. Among these challenges, one of the most haunting ones is heart disease …
health. Among these challenges, one of the most haunting ones is heart disease …
A university admission prediction system using stacked ensemble learning
For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …
Since an application is extremely dynamic, students often tend to wonder if their profile …
Motivators of attendance at eco-friendly events
This study identifies the factors that attract US residents to eco-friendly events. To achieve
our research objective, we obtained data (N= 1,115) from a cross-national, web-based …
our research objective, we obtained data (N= 1,115) from a cross-national, web-based …
An enhanced approach to infer potential host of coronavirus by analyzing its spike genes using multilayer artificial neural network
K Lakhwani, S Bhargava, D Somwanshi… - 2020 5th IEEE …, 2020 - ieeexplore.ieee.org
Numerous coronaviruses are capable of transmitting interspecies. In recent years,
transmission of coronavirus created a panic situation in the whole world. Therefore it is very …
transmission of coronavirus created a panic situation in the whole world. Therefore it is very …
Acquisition of Z-Number-Valued Clusters by Using a New Compound Function
A large number of clustering methods exist including deterministic, probabilistic, and fuzzy
clustering. All these methods are devoted to handling different types of uncertainty. No …
clustering. All these methods are devoted to handling different types of uncertainty. No …
[PDF][PDF] A Comparative Theoretical and Empirical Analysis of Machine Learning Algorithms.
With the explosion of data in recent times, Machine learning has emerged as one of the most
important methodical approaches to observe significant insights from the vast amount of …
important methodical approaches to observe significant insights from the vast amount of …
Missing data handling by mean imputation method and statistical analysis of classification algorithm
K Maheswari, P Packia Amutha Priya… - … Conference on Big Data …, 2020 - Springer
The motive of data mining is to extract meaningful information from the large database.
Because of the human errors, their high dimensionality, noisy data, and missing values, the …
Because of the human errors, their high dimensionality, noisy data, and missing values, the …