Count Sketch and Count–Min Sketch are simple space-efficient probabilistic data structures
that are used to estimate frequencies of elements in data streams and can address the Heavy hitters problem.
Count Sketch was proposed by Moses Charikar, Kevin Chen, and Martin Farach-Colton in 2002.
Count–Min Sketch was presented in 2003 by Graham Cormode and Shan Muthukrishnan and published in 2005.
In the current implementation, we support up to 2^{32} -1 counters (due to 32-bit hash functions) each of 32 bits.
Count Sketch and Count–Min Sketch are simple space-efficient probabilistic data structures that are used to estimate frequencies of elements in data streams and can address the Heavy hitters problem.
Count Sketch was proposed by Moses Charikar, Kevin Chen, and Martin Farach-Colton in 2002. Count–Min Sketch was presented in 2003 by Graham Cormode and Shan Muthukrishnan and published in 2005.
In the current implementation, we support up to 2^{32} -1 counters (due to 32-bit hash functions) each of 32 bits.