AUTOMATED DECISION-MAKING SYSTEM BASED ON THE ANALYSIS OF BIG DATA OF NETWORK OBJECTS
Azamov Temur Narzullayevich Rajabov Narzullo Agzamovich · Zenodo (CERN European Organization for Nuclear Research) · 2023
This article presents an overview of an automated decision-making system that utilizes big data analysis of network objects. The system collects a vast amount of data from network devices, preprocesses it, and applies various analytical techniques to extract insights and make automated decisions. The article discusses the importance of data quality, validation, and preprocessing, as well as model validation and evaluation. It emphasizes the role of domain expertise and human oversight in the decision-making process. Continuous monitoring, feedback loops, and regular system audits are highlighted as essential practices to ensure accuracy and reliability. The article concludes by emphasizing the significance of user training and awareness for effective utilization of the system.