
Projects of Faculty of organization and informatics
SIMON: Intelligent system for automatic selection of machine learning algorithms in social sciences
Status | In progress |
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Acronym | SIMON |
Summary | The ability to generate data has never been as powerful as today when three quintile bytes of data are generated daily. In the field of machine learning, a large number of algorithms have been developed, which can be used for intelligent data analysis and to solve prediction and descriptive problems in different domains. Developed algorithms have different effects on different problems. If one algorithms works better on one dataset, the same algorithm may work worse on another data set. The reason is that each dataset has different features in terms of local and global characteristics. It is therefore imperative to know intrinsic algorithms behavior on different types of datasets and choose the right algorithm for the problem solving. To address this problem, this project gives scientific contribution in meta learning field by identifying the specific characteristics of datasets in two domains of social sciences: education and business and develops meta models based on: ranking algorithms, calculating correlation of ranks, developing a multi-criteria model, two-component index and prediction based on machine learning algorithms. Each of the meta models serve as the basis for the development of intelligent system version. The end result of the project is an intelligent system for automatic selection of machine learning algorithm that will give better performance to a given dataset, taking into account the specific characteristics of data. The research involves a comparative analysis of a large number of machine learning algorithms on a large number of datasets. |
Line of financing |
Croatian Science Foundation |
Duration | 01.05.2021. - 30.04.2026. |
Budget amount | 1.092.500,00 HRK |
Lead | Fakultet organizacije i informatike, Sveučilište u Zagrebu |
Partners |
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Web page | https://louise.foi.hr/ |