An attribute has a missing value if the value is NULL
.
Some data mining algorithms, such as Support Vector Machine, are sensitive to missing values in data; for more information, see Missing Values in Oracle Data Mining.
Note: Do not use the missing values wizard to treat sparse data (data for which only a small fraction of the attributes are non-zero or non-NULL
for any given case). Sparse data is typically found in market basket applications. For more information, see Sparsity.
How missing values are treated depends on the mining type of the attribute. See Missing Values Treatments for Numerical Attributes or Missing Values Treatments for Categorical Attributes for details.
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