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The KMP algorithm utilizes a prefix table to efficiently find substring occurrences in a string by avoiding unnecessary comparisons. Best used for searching a word in a text.

Rabin-Karp utilizes hash functions for pattern searching by comparing hash values of the pattern and substrings of text, not characters. Good for multiple pattern search and plagiarism detection.

This algorithm uses character bad match information and suffix good match information to skip sections of the text, offering efficient string matching that is particularly fast when the alphabet is large. Best for search operations in large texts.

Though not conventional, BFS can be used for string matching by creating a tree structure where each level represents a character in the string and searching through the levels. Suitable for matching patterns in a set of strings, like in a trie.