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Investigating the Efficiency of Randomized Algorithms in Large Data Analysis

Abstract: In the era of big data, the analysis of large datasets has become a fundamental challenge. Traditional algorithms often struggle to cope with the scale and complexity of these datasets, leading to long processing times and excessive resource utilization. To address these issues, researchers have turned to randomized algorithms, which offer the potential to provide efficient and scalable solutions.