Other

Surescripts LLC

Thalveg Data Flow LLC

Robert Driskill

Michael A Ekhaus

Filip Mulier

Bradley Carter Simons

Methods, systems, apparatuses, and computer program products for discovering fraudulent account usage are disclosed. In an example, a database is queried to identify a list of accounts and transaction categories. A first table is generated based on the transaction categories. A second table is generated by populating the first table based on a response to querying the database for a first set of historical transactions over a first period of time. A third table is generated by populating the first table based on a response to querying the database for a second set of historical transactions over a second period of time. A measure of similarity for each of the accounts is generated based on the second table and the third table. For each account with a corresponding measure of similarity below a threshold, the account is identified as a fraudulent account candidate.

Fingerprinting account activity habits in order to discover fraudulent usage

The present invention relates to a method and system for generating client preference recommendations in a high performance computing regime. Accordingly, one embodiment of the present invention comprises: providing a sparse ratings matrix, forming a plurality of data structures representing the sparse ratings matrix, forming a runtime recommendation model from the plurality of data structures, determining a recommendation from the runtime recommendation model in response to a request from a user, and providing the recommendation to the user.

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Greenfield, MN, United States of America

Robert Driskill