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    Pattern matching \Pat"tern match"ing\, n. [See {pattern}.]
    a technique in automated data analysis, usually performed on
    a computer, by which a group of characteristic properties of
    an unknown object is compared with the comparable groups of
    characteristics of a set of known objects, to discover the
    idenity or proper classification of the unknown object.

    Note: There are two major types of pattern matching,
    statistical pattern matching and syntactic pattern
    matching. In statistical pattern matching, the criteria
    used to recognize identity or class membership vary,
    but in general some combination of the differences in
    the groups of characteristics of known and unknown
    objects are considered to be a measure of the
    difference ("distance") between them, and the closest
    known object or objects are viewed as presenting the
    most likely identity or class for the unknown object.
    In syntactic pattern matching, a set of known patterns,
    e.g. as in the possible order of parts of speech in a
    language, is defined, and the unknown pattern is
    compared to find that known pattern or patterns which
    matches the unknown exactly. In general, statistical
    pattern matching is used where properties of objects
    with continuous values are being compared, and
    syntactic pattern matching where a complex arrangement
    of at least two different objects may be built by
    application of a set of rules (a "grammar") for
    combining the objects in a specified order. Examples of
    the latter are natural and formal languages.
    [PJC]

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