Performance analysis of various fuzzy clustering algorithms: a review
Fuzzy clustering is useful clustering technique which partitions the data set in fuzzy partitions
and this technique is applicable in many technical applications like crime hot spot detection …
and this technique is applicable in many technical applications like crime hot spot detection …
Thyroid disease prediction using machine learning approaches
This paper is being written to provide a source of reference for the research scholars who
want to work in the area of prediction of thyroid disease. From the different machine learning …
want to work in the area of prediction of thyroid disease. From the different machine learning …
Fuzzy theory in fog computing: review, taxonomy, and open issues
Geographically dispersed Fog Computing architecture ubiquitously connected to a range of
heterogeneous nodes at the edge of the network can provide cooperative flexible, and …
heterogeneous nodes at the edge of the network can provide cooperative flexible, and …
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 …
An improved hybrid classification of brain tumor MRI images based on conglomeration feature extraction techniques
The brain seems to be the most complex organ in the human body and operates as the
central part of the nervous system. The classification of brain tumors is the most complicated …
central part of the nervous system. The classification of brain tumors is the most complicated …
[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 …
[HTML][HTML] Neighborhood rough neural network approach for COVID-19 image classification
S Nivetha, HH Inbarani - Neural Processing Letters, 2022 - Springer
The rapid spread of the new Coronavirus, COVID-19, causes serious symptoms in humans
and can lead to fatality. A COVID-19 infected person can experience a dry cough, muscle …
and can lead to fatality. A COVID-19 infected person can experience a dry cough, muscle …
Cardiovascular disease prediction system using extra trees classifier
Heart Disease as cardiovascular disease is the leading cause of death for both men and
women. It is the major cause of morbidity and mortality in present society. Therefore …
women. It is the major cause of morbidity and mortality in present society. Therefore …
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 …