TELKOMNIKA Telecommunication, Computing, Electronics and Control
A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq
A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq
Subject
Apriori
Association rules
Data mining
Machine learning algorithm
Multiple linear regression
Weka
Association rules
Data mining
Machine learning algorithm
Multiple linear regression
Weka
Description
The problem of unemployment is one of the most important problems faced
by most countries of the world, and it is one of the intractable problems in
developing countries, and in Iraq unemployment occupies great importance
due to its high rates. This problem in itself is a serious condition, because it
results from mismanagement and the structure of the economy, and despite
its great importance, it has not been carefully monitored. There are studies
and strategies that deal with the analysis and study of those causes that lead
to this problem, such as traditional statistical methods, various mathematical
and statistical methods, in this research proposed a method uses machine
learning methods to find the factors that affect the causes of this problem, as
well as the multiple linear regression method.
by most countries of the world, and it is one of the intractable problems in
developing countries, and in Iraq unemployment occupies great importance
due to its high rates. This problem in itself is a serious condition, because it
results from mismanagement and the structure of the economy, and despite
its great importance, it has not been carefully monitored. There are studies
and strategies that deal with the analysis and study of those causes that lead
to this problem, such as traditional statistical methods, various mathematical
and statistical methods, in this research proposed a method uses machine
learning methods to find the factors that affect the causes of this problem, as
well as the multiple linear regression method.
Creator
Mohamed A. Abdulhamed, Hadeel I. Mustafa, Zainab I. Othman
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Oct 7, 2020
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Mohamed A. Abdulhamed, Hadeel I. Mustafa, Zainab I. Othman, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq,” Repository Horizon University Indonesia, accessed March 13, 2025, https://repository.horizon.ac.id/items/show/3699.
A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq,” Repository Horizon University Indonesia, accessed March 13, 2025, https://repository.horizon.ac.id/items/show/3699.