Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not allowed. The methods available to fill in irregular gaps or edges are: by Previous value, by Mean value or by specific numerical constant.
Specifies the measure used to resolve a Multidimensional Expressions (MDX) expression if a measure is not explicitly referenced ...
Specifies the metadata cached for the linking object, as well as the behavior upon any changes to the underlying linked object. ...
Specifies the method used to calculate the split score. The available methods are: Entropy (1), Bayesian with K2 Prior (3), ...
Specifies the method used to discretize (group) the members of the attribute. The number of buckets created by discretizing ...
Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not ...
Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not ...
Specifies the minimum dependency probability between input and output attributes. This value is used to limit the size of ...
Specifies the minimum number of cases that a leaf node must contain. Setting this value to less than 1 specifies the minimum ...
Specifies the minimum number of cases that must contain the itemset before generating a rule. Setting this value to less ...