Hash-based Search

Hash-based search is a technique used in computer science and data science to quickly retrieve data from a large dataset. It involves the use of a hash function to map the data to a unique index in a hash table. The hash table is then used to store and retrieve the data. Hash-based search is particularly useful when dealing with large datasets, as it allows for constant-time retrieval of data, regardless of the size of the dataset. However, it is important to note that hash-based search can be less effective when dealing with datasets that have a high degree of collisions, as this can lead to slower retrieval times.
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