[PDF][PDF] Examining the trend of literature on classification modelling: a bibliometric approach
This paper analyses and reports various types of published works related to classification or
discriminant modelling. This paper adopted a bibliometric analysis based on the data …
discriminant modelling. This paper adopted a bibliometric analysis based on the data …
Estimation of information measures for power-function distribution in presence of outliers and their applications
AS Hassan, EA Elsherpieny… - Journal of Information …, 2022 - e-journal.uum.edu.my
Entropy measurement plays an important role in the field of information theory. Furthermore,
the estimation of entropy is an important issue in statistics and machine learning. This study …
the estimation of entropy is an important issue in statistics and machine learning. This study …
[PDF][PDF] Classification of Familial Hypercholesterolaemia Using Ordinal Logistic Regression.
Familial hypercholesterolaemia (FH) is a genetic disease that causes the elevation of
lowdensity lipoprotein cholesterol (LDL-C), which subsequently leads to premature coronary …
lowdensity lipoprotein cholesterol (LDL-C), which subsequently leads to premature coronary …
[PDF][PDF] Developing a New Estimation Approach for Constructing a Flexible Location Model to Address Challenges with Numerous Empty and Non-Empty Cells
This paper aims to address the challenges posed by the simultaneous occurrence of
numerous empty and many non-empty cells in the Location Model (LM). The LM is a …
numerous empty and many non-empty cells in the Location Model (LM). The LM is a …
Systematic Literature Review of Mixed Variables Classification
P Ngu, H Hamid - International Journal of Data Science and Advanced …, 2023 - ijdsaa.com
Classification is one of the most popular approaches that had been used in a variety of
fields. There are a lot of classification methods that are applicable to classify objects into …
fields. There are a lot of classification methods that are applicable to classify objects into …
[PDF][PDF] Journal of Information and Communication Technology
AS Hassan, EA Elsherpieny, RE Mohamed - Journal of ICT, 2022 - researchgate.net
Entropy measurement plays an important role in the field of information theory. Furthermore,
the estimation of entropy is an important issue in statistics and machine learning. This study …
the estimation of entropy is an important issue in statistics and machine learning. This study …
Performance Analysis and Discrimination Procedure of Two-Group Location Model with Some Continuous and High-Dimensional of Binary Variables
This research's primary goal was to evaluate the performance analysis of the recently
constructed smoothed location models (SLMs) for discrimination purposes by combining two …
constructed smoothed location models (SLMs) for discrimination purposes by combining two …