A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq

Mohamed A. Abdulhamed, Hadeel I. Mustafa, Zainab I. Othman

Open source

DOI
10.12928/telkomnika.v19i2.16738
Published
2021-04-01
Container
TELKOMNIKA (Telecommunication Computing Electronics and Control)
Publisher
Universitas Ahmad Dahlan
Open access
unknown

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BibTeX

@article{allodium:10.12928/telkomnika.v19i2.16738,
  title = {A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq},
  author = {Mohamed A. Abdulhamed and Hadeel I. Mustafa and Zainab I. Othman},
  year = {2021},
  journal = {TELKOMNIKA (Telecommunication Computing Electronics and Control)},
  doi = {10.12928/telkomnika.v19i2.16738},
  url = {https://doi.org/10.12928/telkomnika.v19i2.16738}
}

RIS

TY  - JOUR
TI  - A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq
AU  - Mohamed A. Abdulhamed
AU  - Hadeel I. Mustafa
AU  - Zainab I. Othman
PY  - 2021
JO  - TELKOMNIKA (Telecommunication Computing Electronics and Control)
DO  - 10.12928/telkomnika.v19i2.16738
UR  - https://doi.org/10.12928/telkomnika.v19i2.16738
ER  - 

APA

Abdulhamed, M. A., Mustafa, H. I., & Othman, Z. I. (2021). A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq. TELKOMNIKA (Telecommunication Computing Electronics and Control). https://doi.org/10.12928/telkomnika.v19i2.16738

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