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Data Compression
Data compression is an operation that reduces the size of a file by minimizing
redundant data. In a file that contains text, redundant data can be frequently
occurring characters, such as the space character, or common vowels, such as
the letters e and a; it can also be frequently occurring character strings. Data compression
creates a compressed version of a file by minimizing this redundant data.
Each type of data-compression algorithm minimizes redundant data in a unique
manner. For example, the Huffman encoding algorithm assigns a code to characters
in a file based on how frequently those characters occur. Another compression
algorithm, called run-length encoding, generates a two-part value for repeated
characters: the first part specifies the number of times the character is
repeated, and the second part identifies the character. Another compression
algorithm, known as the Lempel-Ziv algorithm, converts variable-length strings into
fixed-length codes that consume less space than the original strings.
To compress large applications or data files, you can run COMPRESS.EXE from
the command line. COMPRESS.EXE uses the Lempel-Ziv compression algorithm.
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