Association VAL

Association Rules provide various measures concerning items residing in groups. The measures, support, confidence, lift and Z Score, help to determine the likelihood that one or more items exist in a group, given that another one or more items exist in the same group. There are optionally 5 additional input tables (description data, hierarchy data, left lookup data, right lookup data, and reduced data).

Options

Combinations
Description Column: Specifies the name of the column in the description_data that contains descriptive item names.
Description Data Exists
Description Identifier: Specifies the name of the column in the description_data that is joined with the result.
Filter: WHERE
Group Column
Group Count
Hierarchy Data Exists
Highest Level Column
Item Column
Left Lookup Column
Left Lookup Data Exists
Lowest Level Column
Minimum Confidence
Minimum Lift
Minimum Support
Minimum ZScore
Support Results
Ordering Probability
Process Type
Relaxed Order
Right Lookup Column
Right Lookup Data Exists
Sequence Column
Support Result Prefix
Output Schema: Output Schema, if Volatile is true then use user login as the schema.
Output Table: Output Table
VAL Location: VAL Location

Input Ports

: Connection to a Teradata Database Instance
: Association VAL input
: Specifies the teradataml DataFrame containing description data, which is joined with the result.
: Specifies the hierarchy data that can be joined with the input data in order to reduce the amount of input data and compute association rules at a different hierarchical level.
: Specifies a left-side lookup data that can be specified to reduce the rules reported to only those with left-side items that appear in the lookup dataset.
: Specifies a right-side lookup data that can be specified to reduce the rules reported to only those with right-side items that appear in the lookup dataset.
: Specifies the reduced input data.

Output Ports

: Association VAL output

Association VAL

Options

Input Ports

Output Ports

Nodes

Extensions

Links

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