Abstract: A system and method may retrieve transaction data for a plurality of electronic payment system transactions. The transaction data may describe a plurality of electronic payment transactions between a payment network system and a plurality of merchants. The transaction data may include a transaction location and a merchant store number. The system and method may parse the transaction data to identify the transaction location and the merchant store number and analyze the retrieved and parsed transaction data to identify one or more centroids for at least a portion of the retrieved and parsed transaction data. The one or more centroids may correspond to a merchant location for each transaction of the retrieved and parsed transaction data. The system and method may then clean the retrieved and parsed transaction data having a transaction location outside a threshold distance from the one or more centroids to include accurate merchant store number data.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: A computer implemented method of determining a user health rating. The method may include evaluating transaction records in a user transaction history, determining whether the transactions are associated with positive or negative health, and generating a user health rating at least partially based on the transaction records.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: A system and computer-implemented method distributes rewards and loyalty points in a payment network based on purchase patterns. The system and method may receive purchase data corresponding to a plurality of purchases where the purchase data includes a merchant, a purchase location, and a purchase time. The system and method may then determine a shopping pattern based on the purchase data. The shopping pattern may indicate a probability that a first purchase transaction beginning at a first store will proceed to a second purchase transaction at a second store. The system and method may also receive further purchase data corresponding to a user computer system and compare it to the shopping pattern. The system and method may then send, to the user computer system, one or more of rewards and loyalty points corresponding to the second store when the further purchase data includes the first store.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.

Abstract: A computer-implemented method for generating a classified map on a computing device includes: receiving statistical data associated with each zone of a plurality of zones; generating based on the statistical data at least one classification score for each zone of the plurality of zones by performing a latent factor analysis on the statistical data to generate at least one latent factor score; causing to be displayed a map of a geographic region having the plurality of zones on a display of a computing device; based at least partially on the at least one classification score, causing at least one classification tag to be overlayed over each zone of the plurality of zones on the map to generate the classified map. A system and computer program product for generating a classified map on a computing device are also disclosed.

Abstract: A system and method may retrieve transaction data for a plurality of electronic payment system transactions. The transaction data may describe a plurality of electronic payment transactions between a payment network system and a plurality of merchants. The transaction data may include a transaction location and a merchant store number. The system and method may parse the transaction data to identify the transaction location and the merchant store number and analyze the retrieved and parsed transaction data to identify one or more centroids for at least a portion of the retrieved and parsed transaction data. The one or more centroids may correspond to a merchant location for each transaction of the retrieved and parsed transaction data. The system and method may then clean the retrieved and parsed transaction data having a transaction location outside a threshold distance from the one or more centroids to include accurate merchant store number data.

Abstract: Provided is a method for managing source identifiers of clustered records, which may include receiving a plurality of records, each having identification data associated with a source thereof. The records may be sorted into a first plurality of clusters. A first source identifier may be generated for each cluster. Update data associated with an update to the records may be received. At least some of the records may be sorted into a second plurality of clusters. A first cluster of the second plurality of clusters may have first identification data different from at least one cluster of the first plurality of clusters, and a second cluster of the second plurality of clusters may have identification data that substantially matches the at least one cluster. Whether to assign the first source identifier to the first or second cluster may be determined. A system and computer program product are also disclosed.