Big data mining involves techniques for extracting patterns from large-scale datasets that exceed traditional processing capabilities. Leskovec et al.'s 'Mining of Massive Datasets' covers distributed computing (e.g., MapReduce), clustering, and recommendation systems. This field is crucial for handling real-world data volumes in AI applications.
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