Patent attributes
Methods, systems and computer program products for identifying recurring series from transactional data are disclosed. An analytic server receives transactional data. The server reduces the transactional data to one or more series of transactions. The analytic server identifies one or more features in each series of transactions. The analytic server determines a respective recurrence score for each series of transactions based on training data. The recurrence score measures a likelihood that the series of transactions is a recurring series, in which transactions recur. The analytic server determines whether each series of transactions is a recurring series based on the respective recurrence score and a threshold. The analytic server predicts a future transaction based on the recurring series of transactions.
