Sequential patterns and rules
By using sequential patterns mining, you can discover interesting and useful patterns and rules in a large-scale table that contains sequences of transactions.
Similar to association rules mining, the table contains transactions that consist of a set of items and a transaction identifier, for example, a market basket. Additionally, the transactions are grouped to form a sequence that is ordered by the transaction ID. There can be sequences of transactions for a specified customer, or sequences of transactions per store, or whatever sequence of transactions is available in the table.