Abstract: Rules, applied to deny authorization of likely fraudulent transactions, are derived from a modified Patient Rule Induction Method algorithm that uses a target variable and a data set of past transactions each associated with a plurality of input variables and a hyper-rectangle enclosing a multi-dimensional space defined by a representation of the input variable values as points within the multi-dimensional space. While a count of the points within the hyper-rectangle is greater than a minimum support parameter, a first plurality of points proximal to edges of the hyper-rectangle are removed, where each such removing maximizes a mean value of the target variable, and then, while the mean value remains maximized, a second plurality of points proximal to the edges is added, where each adding maximizes or maintains the mean value. The hyper-rectangle is bounded within a minimum bounding box that defines the rules.

Abstract: Systems and methods for determining and reporting aggregated transaction level data regarding a particular user are disclosed. Based on the requests of one or more information requesters, an aggregator server can request transaction level data for all accounts associated with a particular user from a transaction database. The transaction database returns raw transaction level data for all accounts associated with the particular user to the aggregator server. The aggregator server can then parse the raw transaction level data based on a number of transaction level data elements and information requester input. The parsed raw transaction level data can then be used to determine the number of predefined or information requester defined transaction level data aggregates. The resulting transaction level data aggregates can then be sent in a report to the one or more information requesters.

Abstract: A system for providing real-time risk mitigation for an authorization system. The system receives authorization requests from multiple merchants (or their respective acquirers) and processes such requests. Each processed request is then forwarded to its corresponding issuer for further authorization. Each processed request includes an authorization message. The authorization message can include a risk score, a number of reason codes, and a number of condition codes. The use of the risk score, reason codes and condition codes allows issuers to make better informed decisions with respect to providing authorizations.

Abstract: Systems and methods for determining and reporting aggregated transaction level data regarding a particular user are disclosed. Based on the requests of one or more information requesters, an aggregator server can request transaction level data for all accounts associated with a particular user or a group of users from a transaction database. The transaction database returns raw transaction level data for accounts associated with the particular user to the aggregator server. The aggregator server can then parse the raw transaction level data based on a number of transaction level data elements and information requester input. The parsed raw transaction level data can then be used to determine the number of predefined or information requester defined transaction level data aggregates. The resulting transaction level data aggregates can then be sent in a report to the one or more information requesters.

Abstract: Systems and methods for providing aggregated transaction level data for a particular user to multiple information requesters are disclosed. Subkeys are assigned to user inquiries from multiple information requesters and a super key is assigned to those subkeys to link them to one or more user identifiers such as a username or Social Security number. Account level data is provided based on the super key and the user identifiers. Duplicate requests for aggregated transaction level data contained in the user inquiries can be deleted. User inquiry response files containing transaction level aggregate data can be sent to the information requesters based on the assigned subkeys.

Abstract: A system for providing real-time risk mitigation for an authorization system. The system receives authorization requests from multiple merchants (or their respective acquirers) and processes such requests. Each processed request is then forwarded to its corresponding issuer for further authorization. Each processed request includes an authorization message. The authorization message can include a risk score, a number of reason codes, and a number of condition codes. The use of the risk score, reason codes and condition codes allows issuers to make better informed decisions with respect to providing authorizations.