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-  2018 

Analysis of Turkey Labour Force Data by Decision Tree Methods

Keywords: Hanehalk? ??gücü Ara?t?rmas?,??gücü,?stihdam,??sizlik,Karar A?a?lar?

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Abstract:

The countries which have focused on employment, unemployment and the problems related to these issues attach importance to gathering data and research efforts about these issues in order to solve these problems and create efficient policies. Various data analysis methods are utilized in these researches. In addition to classical statistical data analysis methods, data mining methods which contain the most effective analysis methods on large databases are widely used because of the increase in the amount of data obtained. In this study, it is aimed to present the situation of labour force of the population and to provide detailed information by using the year 2013 data of “Household Labour Force Survey” conducted by Turkish Statistical Institute. For this purpose, statistics were obtained for the population in the labour force, and decision tree models were created using data that belong to the persons whose labour force situation was "not working" at the previous year. Gender, age groups, graduation status, marital status, attending a school and the geographical region where they reside were found to be the most important variables affecting the labour force situation

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