associationrulesnode properties
The Association Rules node is similar to the Apriori Node. However, unlike Apriori, the Association Rules node can process list data. In addition, the Association Rules node can be used with SPSS Analytic Server to process big data and take advantage of faster parallel processing.
associationrulesnode properties 
Data type  Property description 

predictions

field  Fields in this list can only appear as a predictor of a rule 
conditions

[field1...fieldN]  Fields in this list can only appear as a condition of a rule 
max_rule_conditions

integer  The maximum number of conditions that can be included in a single rule. Minimum 1, maximum 9. 
max_rule_predictions

integer  The maximum number of predictions that can be included in a single rule. Minimum 1, maximum 5. 
max_num_rules

integer  The maximum number of rules that can be considered as part of rule building. Minimum 1, maximum 10,000. 
rule_criterion_top_n

Confidence
Rulesupport
Lift
Conditionsupport
Deployability

The rule criterion that determines the value by which the top "N" rules in the model are chosen. 
true_flags

Boolean  Setting as Y determines that only the true values for flag fields are considered during rule building. 
rule_criterion

Boolean  Setting as Y determines that the rule criterion values are used for excluding rules during model building. 
min_confidence

number  0.1 to 100  the percentage value for the minimum required confidence level for a rule produced by the model. If the model produces a rule with a confidence level less than the value specified here the rule is discarded. 
min_rule_support

number  0.1 to 100  the percentage value for the minimum required rule support for a rule produced by the model. If the model produces a rule with a rule support level less than the specified value the rule is discarded. 
min_condition_support

number  0.1 to 100  the percentage value for the minimum required condition support for a rule produced by the model. If the model produces a rule with a condition support level less than the specified value the rule is discarded. 
min_lift

integer  1 to 10  represents the minimum required lift for a rule produced by the model. If the model produces a rule with a lift level less than the specified value the rule is discarded. 
exclude_rules

Boolean  Used to select a list of related fields from which you do not want the model to create
rules.
Example: set :gsarsnode.exclude_rules = [[[field1,field2, field3]],[[field4,
field5]]]  where each list of fields separated by [] is a row in the table. 
num_bins

integer  Set the number of automatic bins that continuous fields are binned to. Minimum 2, maximum 10. 
max_list_length

integer  Applies to any list fields for which the maximum length is not known. Elements in the list up until the number specified here are included in the model build; any further elements are discarded. Minimum 1, maximum 100. 
output_confidence

Boolean  
output_rule_support

Boolean  
output_lift

Boolean  
output_condition_support

Boolean  
output_deployability

Boolean  
rules_to_display

upto
all

The maximum number of rules to display in the output tables. 
display_upto

integer  If upto is set in rules_to_display , set the number of rules
to display in the output tables. Minimum 1. 
field_transformations

Boolean  
records_summary

Boolean  
rule_statistics

Boolean  
most_frequent_values

Boolean  
most_frequent_fields

Boolean  
word_cloud

Boolean  
word_cloud_sort

Confidence
Rulesupport
Lift
Conditionsupport
Deployability


word_cloud_display

integer  Minimum 1, maximum 20 
max_predictions

integer  The maximum number of rules that can be applied to each input to the score. 
criterion

Confidence
Rulesupport
Lift
Conditionsupport
Deployability

Select the measure used to determine the strength of rules. 
allow_repeats

Boolean  Determine whether rules with the same prediction are included in the score. 
check_input

NoPredictions
Predictions
NoCheck
