Advanced Techniques for Heavy Hitters Detection in Insertion Streams
Beating CountSketch algorithms, like those presented by David P. Woodruff and team, offer innovative solutions for identifying heavy hitters in insertion streams with minimal space complexity. Guarantees such as L1 and L2 outputs and the CountSketch approach are explored to achieve efficient heavy h
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Optimal Algorithm for Finding Heavy Hitters in Streaming Models
This research discusses an optimal algorithm for identifying heavy hitters in streaming data, aiming to minimize memory usage in bits. It explores the Heavy Hitters Problem, different types of guarantees, and the CountSketch technique to achieve l2 guarantee. Known space bounds and new algorithm res
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