Acceptors - Acceptors Data in the real world has structure....

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Acceptors Data in the real world has structure. The structure arises because the world is not random, but has patterns that reflect an organizing principle inherent to the behavior of the world. The structure may be very fine grain (micro structure), at the level of individual data items, or may be very coarse grain (macro structure), involving a complex set of relationships among many individual data items. This study will focus on fine grain structure. The lessons and ideas apply equally well to larger, more complex structures. Two examples illustrate the idea of fine grain structure in data. The first example of fine grain structure is the common representation of US currency, which (for our purposes) includes all of the following: $.75 $20.50 $1,200.99 $8,245,679.13 but none of the these: .75 (missing initial “$”) $1,200.4 (decimal point not followed by two digits) $1,200 (missing decimal point and two following digits) $20.513 (more than two digits after the decimal) $8,20.15 (comma not followed by three digits) $,200.77 (no digit preceding the comma)
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This note was uploaded on 01/23/2012 for the course CS 2984 taught by Professor Lewis during the Spring '08 term at Virginia Tech.

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Acceptors - Acceptors Data in the real world has structure....

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