A statistical solution to processing very large datasets efficiently with memory limit ...Middle East

With the ever-increasing amount of data to process in a limited time-period, the required computational resources and corresponding expenses are likely to go up. To address this issue, scientists from Japan have developed a statistical framework that helps classify tremendously large datasets without requiring a memory boost or total sampling. The technique is widely applicable and can help sustain future high-speed computations even for sample sizes larger than the processing limit.

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Last updated : 01 April 2021 clock 08:46 AM

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A statistical solution to processing very large datasets efficiently with memory limit ...Middle East

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