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What is XGBoost for Cloud Data Categorization about?

This study investigates the use of the XGBoost algorithm for data categorization in cloud computing, emphasizing its efficiency in handling large-scale data classification tasks. The proposed model preprocesses data by extracting features and managing imbalances, achieving high accuracy and speed compared to traditional classifiers. Results demonstrate that XGBoost is particularly effective for real-time data processing in cloud environments, ensuring data security and integrity through automatic classifica

Author

gokul

Language

EN