Machine Learning tools for Studying Unemployment in Albania

Session

Information Systems

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.2022.114

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Oct 29th, 12:00 AM Oct 30th, 12:00 AM

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.