Algorithmic Aspects of Parallel Data Processing (Foundations and Trends in
125,53 €
The last decade has seen a huge and growing interest in processing large data sets on large distributed clusters. While the applications of such systems are diverse (for example, machine learning, data analytics), most involve relatively standard data processing tasks like identifying relevant data, cleaning, filtering, joining, grouping, transforming, extracting features, and evaluating results.
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