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To define a second match rule, put your cursor on the top-right corner of the
Matching algorithm table, click
to create a new rule.
When you define multiple conditions in the match rule editor, an OR match
operation is conducted on the analyzed data. Records are evaluated against the first
rule and the records that match are not evaluated against the second rule and so
on.
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Click
at the top-right corner of the Matching algorithm
table and rename the rule.
If you define more than one rule in the match analysis, you can use the up and
down arrows in the dialog box to change the rule order and thus decide what rule to
execute first.
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Click OK.
The rules are named and ordered accordingly in the section.
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In the Match threshold field, enter the
match probability threshold.
Two data records match when the probability is above this value.
In the Confident match threshold field,
set a numerical value between the current Match
threshold and 1.
If the GRP-QUALITY calculated by the
match analysis is equal to or greater than the Confident match threshold, you can be confident about the
quality of the group.
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Click Chart to compute the groups according to the blocking
key and match rule.
The results of the sample data are displayed in a chart.
This chart shows a global picture about the duplicates in the analyzed data. The
Hide groups less than parameter is set to
2 by default. This parameter enables you to decide what
groups to show in the chart, you usually want to hide groups of small group size.
The chart in the above image indicates that out of the 1000 sample records you
examined and after excluding items that are unique, by having the
Hide
groups less than parameter set to
2:
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49 groups have 2 items each. In each group, the 2 items are duplicates of
each other.
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7 groups have 3 duplicate items and the last group has 4 duplicate
items.
Also, the Data table indicates the match details of items
in each group and colors the groups in accordance with their colors in the match
chart.