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The document discusses the application of machine learning to optimize resource allocation and management strategies in colleges and universities. It highlights the effectiveness of various machine learning models, such as time series analysis and decision trees, in improving prediction accuracy and resource management efficiency. The study also proposes a comprehensive decision support system to assist university managers in making data-driven decisions regarding student enrollment, teacher allocation, and

Author

barış

Language

EN