Hierarchical Heavy Hitter (Data Science)
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In data science, a Heavy Hitter is a frequently accessed resource. A Hierarchical Heavy Hitter is a data concept that builds a hierarchy of hitters to identify and manage domains of the hierarchy that act as heavy hitters.[1]
The concept was formally defined in 2003 in scientific publication "Finding Hierarchical Heavy Hitters in Data Streams"[2]
References[edit]
- ↑ Definition on the website of Free University of Bozen-Bolzano http://www.inf.unibz.it/dis/teaching/DWDM/proposals/hhh/hhh.html
- ↑ "Finding Hierarchical Heavy Hitters in Streaming Data" (2003), Cormode, Korn, Muthukrishnan & Srivastava https://dl.acm.org/citation.cfm?id=1315492&qualifier=LU1015868 https://pdfs.semanticscholar.org/3c88/cd38386d62421f4b7364366181ab84eb1857.pdf
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