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).
- Type: DB SessionTeradata ConnectionConnection to a Teradata Database Instance
- Type: TableAssociation VAL inputAssociation VAL input
- Type: TableDescription DataSpecifies the teradataml DataFrame containing description data, which is joined with the result.
- Type: TableHierarchy DataSpecifies 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.
- Type: TableLeft Lookup DataSpecifies 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.
- Type: TableRight Lookup DataSpecifies 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.
- Type: TableReduced DataSpecifies the reduced input data.