Machine Learning tools for Studying Unemployment in Albania
Session
Computer Science and Communication Engineering
Description
Nowadays more and more technology is relying on artificial intelligence to carry out further developments. Due to the big data concept that we are facing and with the enormous development of technology, it is mandatory to study different ways of classifications. One of the most common forms of classification and forecasting are decision trees. The main motive for selecting this topic remains the field of artificial intelligence as an integral part of technology development.
The following paper will present more about decision tree algorithms, the areas where they are most used, and how to implement them. The main purpose of the paper is to study the case of unemployment in our country, which serves as a very good example to set up other models in the future. Through the use of the deductive method, the conclusions show the importance of this study in relation to their use at the micro and macro level. The study shows that these methods are of particular importance especially when it comes to the future.
Keywords:
Machine Learning, DST Algorithm, Unemployment. Classification.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-50-5
Location
UBT Kampus, Lipjan
Start Date
29-10-2022 12:00 AM
End Date
30-10-2022 12:00 AM
DOI
10.33107/ubt-ic.2022.272
Recommended Citation
Vika, Blerina; Rustemi, Desara; and Sevrani, Kozeta, "Machine Learning tools for Studying Unemployment in Albania" (2022). UBT International Conference. 280.
https://knowledgecenter.ubt-uni.net/conference/2022/all-events/280
Machine Learning tools for Studying Unemployment in Albania
UBT Kampus, Lipjan
Nowadays more and more technology is relying on artificial intelligence to carry out further developments. Due to the big data concept that we are facing and with the enormous development of technology, it is mandatory to study different ways of classifications. One of the most common forms of classification and forecasting are decision trees. The main motive for selecting this topic remains the field of artificial intelligence as an integral part of technology development.
The following paper will present more about decision tree algorithms, the areas where they are most used, and how to implement them. The main purpose of the paper is to study the case of unemployment in our country, which serves as a very good example to set up other models in the future. Through the use of the deductive method, the conclusions show the importance of this study in relation to their use at the micro and macro level. The study shows that these methods are of particular importance especially when it comes to the future.