Procedures for finding patterns in text and for storing text in less space. The Knuth-Morris-Pratt algorithm searches a long string for a word without re-examining characters it has already matched, and Huffman coding builds an optimal prefix code that gives short bit patterns to frequent symbols, which makes it a long-standing method for lossless data compression. Both procedures read a sequence of symbols and exploit its structure, one to avoid repeated work while matching and the other to shorten the stored form of the text.
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String Matching and Compression Algorithms
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Sequitur algorithm (Wikipedia)
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It can be used in data compression software applications.
Wikipedia: Knuth-Morris-Pratt algorithm
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In computer science, the Knuth-Morris-Pratt algorithm (or KMP algorithm) is a string-searching algorithm that searches for occurrences of a "word" W within a main "text string" S by employing the observation that when a mismatch occurs, the word itself embodies sufficient information to determine where the next match could begin, thus bypassing re-examination of previously matched characters.
Wikipedia: Huffman coding
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In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression.
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