Using precise methods for counting the frequency of events in a data stream becomes infeasible with large volumes. Precise counting methods at scale often require a significant amount of memory to maintain exact counts over a large data set. In contrast, Count-Min Sketch (CMS) offers a probabilistic solution that provides
