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Fast, Small-Space Algorithms for Approximate Histogram Maintenance (on a Stream).

Fast, Small-Space Algorithms for Approximate Histogram Maintenance (on a Stream). A. Gilbert, S. Guha, P. Indyk, Y. Kotidis, S. Muthukrishnan, M. Strauss. A data stream. Data items/updates arrive one at a time Small storage, no random access to data unless stored.

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410 views • 26 slides

Bloom Filters

Bloom Filters. Kira Radinsky. Slides based on material from: Michael Mitzenmacher and Hanoch Levy Some modifications by Naama Kraus . Bloom Filter. Problem : membership testing Does item X belong to a set S ?

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322 views • 17 slides

Bloom filters

Bloom filters. Probability and Computing Randomized algorithms and probabilistic analysis P109~P111 Michael Mitzenmacher Eli Upfal. Introduction. Approximate set membership problem . Trade-off between the space and the false positive probability . Generalize the hashing ideas.

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247 views • 9 slides

Bloom filters

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230 views • 9 slides

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Optimal k - PowerPoint PPT Presentation

Fast, Small-Space Algorithms for Approximate Histogram Maintenance (on a Stream).

Bloom Filters

Bloom filters

Bloom filters