Model table data formats for sequential patterns

The model tables are created in the schema where you run the algorithm.

<model name>_ITEMS table
This table contains the frequent items of the input table. Frequent items are contained in a fraction or number of the input sequences that exceeds the minimum support. The minimum support is defined in the minsupport parameter.
<model name>_ITEMSETS table
This table contains the groups of frequent items, also called frequent item sets, of the input table. Frequent items are contained in a fraction or number of the input sequences that exceeds the minimum support. The minimum support is defined in the minsupport parameter.
<model name>_SEQPATTERNS table
This table contains the frequent sequential patterns of the input table. Frequent patterns are contained in a fraction or number of the input sequences that exceeds the minimum support. The minimum support is defined in the minsupport parameter.
<model name>_SEQPATTERNS_STATISTICS table
This table contains the statistics for the detected patterns.
<model name>_SEQRULES table
This table contains the confident rules that are implied based on the detected sequential patterns. The confidence value of these rules exceeds the value that is specified by the minconf parameter.

Parent topic: Sequential patterns and rules