Reservoir-Sampling
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Data structures for massive datasets
The algorithms that we use every day to manipulate data assume that we have access to all
the data we need. What if there’s more data that can fit in a single computer or if accessing
the data itself to do searches is expensive? If so, we can use specialized data structures
that can help us “estimate” the actual value without actually computing it, in some cases
an estimate might be good enough. These data structures are: count-min sketch, bloom filters,
and reservoir-sampling.
