Abstract: A reward card platform includes a database storing funding accounts, reward card purchase transactions, and aberrant activity rules. A first user interface enables purchasing reward cards, including controls to specify reward card parameters. A second user interface enables specifying rules to detect aberrant activity. The second user interface includes user interface controls to specify the rule parameters, including: specifying a moving window of time; specifying an aggregation type; specifying filtering; specifying aggregation grouping; and specifying a threshold value for triggering an alert. The platform includes a rules execution engine that runs periodically to evaluate each of the rules. For each rule, the engine identifies transactions whose timestamps fall within the moving window of time relative to a current time and satisfies the filters, then computes an aggregation of the transactions according to the aggregation type and aggregation grouping.

Abstract: A reward card platform includes a database storing funding accounts, reward card purchase transactions, reward card brand options, and denomination options. The platform provides a user interface for purchasing reward cards from multiple third party suppliers. The user interface commits reward card purchase transactions using the funding accounts and specified reward card brand and denomination options. The platform obtains reward card items from supplier APIs corresponding to specified reward card brand and denomination options. The platform includes a buffer storing reward card inventory items.

Abstract: A reward card platform includes a database storing funding accounts, reward card purchase transactions, and aberrant activity rules. A first user interface enables purchasing reward cards, including controls to specify reward card parameters. A second user interface enables specifying rules to detect aberrant activity. The second user interface includes user interface controls to specify the rule parameters, including: specifying a moving window of time; specifying an aggregation type; specifying filtering; specifying aggregation grouping; and specifying a threshold value for triggering an alert. The platform includes a rules execution engine that runs periodically to evaluate each of the rules. For each rule, the engine identifies transactions whose timestamps fall within the moving window of time relative to a current time and satisfies the filters, then computes an aggregation of the transactions according to the aggregation type and aggregation grouping.

Abstract: A reward card platform includes a database storing funding accounts, reward card purchase transactions, and aberrant activity rules. A first user interface enables purchasing reward cards, including controls to specify reward card parameters. A second user interface enables specifying rules to detect aberrant activity. The second user interface includes user interface controls to specify the rule parameters, including: specifying a moving window of time; specifying an aggregation type; specifying filtering; specifying aggregation grouping; and specifying a threshold value for triggering an alert. The platform includes a rules execution engine that runs periodically to evaluate each of the rules. For each rule, the engine identifies transactions whose timestamps fall within the moving window of time relative to a current time and satisfies the filters, then computes an aggregation of the transactions according to the aggregation type and aggregation grouping.

Abstract: A reward card platform includes a database storing funding accounts, reward card purchase transactions, reward card brand options, and denomination options. The platform provides a user interface for purchasing reward cards from multiple third party suppliers. The user interface commits reward card purchase transactions using the funding accounts and specified reward card brand and denomination options. The platform obtains reward card items from supplier APIs corresponding to specified reward card brand and denomination options. The platform includes a buffer storing reward card inventory items.

Abstract: A reward card platform includes a database storing funding accounts, reward card purchase transactions, reward card brand options, and denomination options. The platform provides a user interface for purchasing reward cards from multiple third party suppliers. The user interface commits reward card purchase transactions using the funding accounts and specified reward card brand and denomination options. The platform obtains reward card items from supplier APIs corresponding to specified reward card brand and denomination options. The platform includes a buffer storing reward card inventory items.

Abstract: A solid model is constructed from surface point data that represent layers of an object. The model is represented as the level set of an implicit function that is fitted to the surface point data. In the two-dimensional application of the technique, a Delaunay triangulation is performed for each layer. In this step, surface points are connected to form Delaunay triangles; the data points are the vertices of the Delaunay triangles. A circumcircle is then created around each Delaunay triangle, passing through the three vertices of the triangle. To decimate the circumcircle data, overlapping circumspheres are merged according to a merging criterion. A pseudo-union of implicit functions for the reduced number of circumcircles provides an initial implicit function for the layer. Errors in the implicit function are substantially reduced by optimizing the position and/or radii of the circumcircles.