For general information about outliers, see Outliers in Oracle Data Mining.
To define an outlier treatment, you must supply two pieces of information:
NULL
values (that is, throw the values away) or you can replace then with edge values. Suppose that 10 is the mean of an attribute's distribution and 5 is the standard deviation. Suppose that outliers are values that are less than -5 (the mean minus 3 times the standard deviation) or greater than 25 (the mean plus three times the standard deviation), then you can either replace the value -10 with NULL
or replace it with -5.Copyright © 2005, Oracle. All rights reserved.