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Computing & AI · Source-linked note

Cormode and Muthukrishnan: Count-Min sketch

Introduced the Count-Min sketch, a sublinear-space randomized summary supporting approximate point, range and inner-product queries with stated error guarantees and streaming applications.

What is recorded here?

Introduced the Count-Min sketch, a sublinear-space randomized summary supporting approximate point, range and inner-product queries with stated error guarantees and streaming applications.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The record is the exact two-author journal paper. Its approximation guarantees depend on the paper's parameters and probabilistic assumptions; it is not an exact counter and does not absorb prior or later streaming sketches.

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People and systems

Graham Cormode; S. Muthukrishnan

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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Documented countries / regions: United States

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English catalogue narrative

Cormode and Muthukrishnan: Count-Min sketch

Introduced the Count-Min sketch, a sublinear-space randomized summary supporting approximate point, range and inner-product queries with stated error guarantees and streaming applications.

Scientific scope

The record is the exact two-author journal paper. Its approximation guarantees depend on the paper's parameters and probabilistic assumptions; it is not an exact counter and does not absorb prior or later streaming sketches.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Graham Cormode; S. Muthukrishnan

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources