| Document Date: 2013-06-29 06:39:15
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City Trento / / Company IBM / SQF / Data Stream Management Systems / / Country Italy / India / / Currency pence / USD / / / Facility Stable Bloom Filter / Sourav Dutta Max Planck Institute / / IndustryTerm in-memory algorithms / intensive computing methods / Web applications / large tele-communication network / query processing / diverse modern applications / real-time applications / real-time performance / recommender systems / realtime applications / large distributed systems / climate warning systems / real-time nature / intelligent approximate duplicate detection algorithms / online climate prediction systems / per-flow state management / on-line transaction records / low real-time processing time demands / stochastic fair blue queue management / multi-core applications / Internet Mathematics / tele-communications / weather systems / search engines / storage systems / real-time efficiency / Web advertisement domain / real-time memory-efficient de-duplication applications / de-duplication applications / de-duplication algorithms / elegant yet efficient algorithm / search engine / personalized web search / on-line transactions / real-time processing capacity / / NaturalFeature Data Streams / / Organization Sourav Dutta Max Planck Institute for Informatics / RSBF SQF / VLDB Endowment / / Person Suman K. Bera / Riva del Garda / / Position map worker / RT / author was / containing RT / node containing RT / / ProgrammingLanguage FP / php / / ProvinceOrState Manitoba / / PublishedMedium Communications of the ACM / / Technology search engine / in-memory algorithms / 3.2 591 Algorithm / 3.3 Algorithm / intelligent approximate duplicate detection algorithms / de-duplication algorithms / caching / flash / / URL http /
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Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams ∗ Sourav Dutta