Time complexity analysis is a method for determining the amount of time an algorithm takes to complete as a function of the length of the input. It helps predict how the performance of an algorithm scales with larger datasets, which is crucial for applications in data mining and streaming algorithms where efficiency is key. Understanding time complexity allows data scientists to choose or design algorithms that can handle large volumes of data without excessive computational resources.
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