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| Title | The Role Of Optimization Techniques In Advancing Big Data Analytics : A Survey |
|---|---|
| ID_Doc | 56619 |
| Authors | Ramesh Babu E.; Sunil Kumar M. |
| Year | 2025 |
| Published | Communications on Applied Nonlinear Analysis, 32, 1S |
| DOI | http://dx.doi.org/10.52783/cana.v32.2162 |
| Abstract | In the era of data proliferation, big data analytics has emerged as a vital tool for organizations seeking actionable insights from vast and diverse datasets. This paper surveys the criucial part of optimization techniques in enhancing the performance and efficiency of big data analytics. By addressing the challenges due by the volume, velocity, and variety of big data, optimization techniques enable more efficient resource utilization, faster decision-making, and improved predictive accuracy. Key applications in the areas such as healthcare, finance, smart cities demonstrate the transformative advantage of combining big data analytics with advanced optimization strategies. This survey highlights the pivotal role optimization plays in scaling data-driven insights, ensuring organizations can fully harness the power of their data. © 2025, International Publications. All rights reserved. |
| Author Keywords | Big Data Analytics; Optimization |
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