چكيده به لاتين
Unemployment is one of the major socio-economic problems in countries, especially developing countries, which directly and indirectly affects the performance of governments and decision makers in the fields of economics and government management. Also, rising unemployment rate can be considered as one of the main reasons for socio-economic problems. Iran, as one of the developing countries, is no exception to this rule. In the field of scientific analysis and explanation of unemployment and especially its management in the country, it is necessary to use a new and effective approach, because it seems that due to the complexity and sensitivity of the problem of unemployment in Iran cannot be except through an integrated and scientific approach. Achieved proper explanation, analysis and management. Studies show that management and economic policies designed to reduce unemployment are usually based on theories that are macro-validated but have little or no micro-credibility. This is a concern because policies are implemented at the level of individuals and organizations, so ignoring realistic mechanisms at the micro level may lead to costly results in the real world. In the present study, an attempt has been made to use an integrated approach in the field of management, economics and computer and using data mining tools, artificial intelligence and machine learning, and in particular to help the great advances in the world of technology, while recognizing the dimensions and cause. Effective unemployment, using the results and comparing the results with research and solutions presented in domestic and foreign studies, a model for managing the unemployed human resources of the country by guiding the workforce using data mining methods. In this study, the theoretical foundations of the use of data mining in the management of human resources and the unemployed have been studied, including the use of data mining in the management of the educational system (including secondary, higher and technical and vocational training centers), human resources and unemployed is. Finally, a development database for managing and combating unemployment is presented. The achievements of this research provide a model for managing the unemployed; provide an application database for human resource management in the labor market; use the decision tree to discover the data of the unemployed management system and the importance of using large data and data mining for modeling and evaluation in management areas; Economic and social, especially in the labor market.
