Count-Min sketch
The Count-Min sketch probabilistic data structure, like HyperLogLog, counts the items that have been added, with the difference that the Count-Min sketch counts the number of times specific items have been added – that is, their frequency.
When using a Count-Min sketch data structure, any frequency counts below a predetermined threshold (established by the error rate) should be disregarded. The Count-Min sketch serves as a valuable tool for counting element frequencies in a data stream, especially when dealing with higher counts. Nevertheless, very low counts are often perceived as noise and are typically discarded in this context. To start using the data structure, we have the option to initialize it either based on the probabilities to be maintained or on the desired dimensions. It is important to note that the dimensions of the Count-Min sketch play a significant role because to merge two Count-Min sketches, they must have identical dimensions.
We can...
