Visa Inc.

About: Visa Inc. is a company organization based out in London, United Kingdom. It is known for research contribution in the topics: Database transaction & Transaction data. The organization has 1031 authors who have published 1076 publications receiving 36053 citations. The organization is also known as: Visa & Visa Inc.

Detecting changes in large data sets of payment card data: a case study

Abstract: An important problem in data mining is detecting changes in large datasets. Although there are a variety of change detection algorithms that have been developed, in practice it can be a problem to scale these algorithms to large data sets due to the heterogeneity of the data. In this paper, we describe a case study involving payment card data in which we built and monitored a separate change detection model for each cell in a multi-dimensional data cube. We describe a system that has been in operation for the past two years that builds and monitors over 15,000 separate baseline models and the process that isused for generating and investigating alerts using these baselines.

Systems and methods to connect information

Abstract: A system and method to link online and offline user data via transaction data. Online and/or offline user data can be tracked via various anonymous tracking methods that do not require the users to explicitly identify themselves. Through linking online payment transactions with online user data and linking offline payment transactions with offline user data, the system and method links the online user data and the offline user data that are linked respectively to online and offline payment transactions made in the same payment account. Combining the online user data and offline user data in connection with online and offline payment transactions provides comprehensive information about the user, which can be used to provide improved services to the user.

Systems and methods to provide offer benefits based on issuer identity

Abstract: Systems and methods configured to specify and/or deliver the benefit of an offer, based on the identity of an issuer of a consumer payment account with which the offer is associated and using which account a transaction qualifying for the offer is performed.

Message routing using logically independent recipient identifiers

Abstract: Embodiments are directed to methods for routing messages using logically independent recipient identifiers and server computers operable to implement those methods. In one embodiment, an authorization request message is received at the server computer from a sending institution. The authorization request message comprises a non-financial institution identifier and a recipient identifier separate from the non-financial institution identifier, the non-financial institution identifier identifying a non-financial institution, the recipient identifier associated with a recipient, wherein the authorization request message requests authorization for a transaction between a sender and the recipient. The server computer then determines the non-financial institution from a number of different non-financial institutions, routes the authorization request message to the non-financial institution, and receives, from the non-financial institution, an authorization response message, the authorization response message indicating whether or not the transaction is approved or not approved.

Systems and methods to generate a location dependent alert in a mobile device of a user

Abstract: A mobile device having a position determination device and a mobile application configured, in response to the location of the mobile device determined by the position determination device, to: predict a transaction based at least in part on the location of the mobile device; select, based at least in part on the location of the mobile device, a first account for the transaction from a plurality of accounts identified by the identification information; and provide, via the user interface, an alert identifying the first account, before a user of the mobile device begins to make the transaction. The prediction can be made based on a location pattern relative to the location of a transaction terminal and/or the detection of short-range wireless signals of the transaction terminal.