Abstract: A method of operating a computer system includes receiving from a merchant node an eCommerce authentication request for a pending eCommerce transaction associated with a user terminal. The eCommerce authentication request contains transaction information of the pending eCommerce transaction that includes a user terminal identifier. A risk score for the pending eCommerce transaction is generated based on similarities between the transaction information of the pending eCommerce transaction and a cluster of historical eCommerce transactions each containing transaction information including a user terminal identifier that matches the user terminal identifier of the pending eCommerce transaction. The eCommerce authentication request is selectively provided to an authentication node based on the risk score.

Abstract: An embodiment of the invention includes a system for partitioning asset management plugins. The system includes an application program interface for performing basic CRUD functions on assets having multiple asset types. At least one plugin having plugin components is provided, wherein the plugin manages at least one asset having a specific asset type (of the multiple asset types). The plugin components include a CRUD component, a state component, an actions component, and/or a view component. The system further includes plugin containers for hosting the plugin components, the plugin containers include at least one client-side plugin container and at least one server-side plugin container. The plugin components are partitioned and distributed from the plugin components to the plugin containers by a plugin server based on capabilities of the client.

Abstract: A method of operating a computer system is disclosed. An eCommerce authentication request is received from a merchant node. The eCommerce authentication request has content including cardholder information. A risk score for the eCommerce authentication request is generated based on comparison of the cardholder information of the eCommerce authentication request to cardholder information of eCommerce authentication requests of a plurality of merchant nodes. The eCommerce authentication request is selectively provided to an authentication node based on the risk score.

Abstract: A method of operating a computer system is disclosed. An eCommerce authentication request is received. Content of the eCommerce authentication request is processed through a non-linear analytical model to generate a risk score. The eCommerce authentication request is selectively provided to an authentication node based on the risk score. Related authentication gateway nodes and computer program products are disclosed.

Abstract: A method of operating a computer system is disclosed. An eCommerce authentication request is received from a merchant node. The eCommerce authentication request has content including merchant information. A risk score for the eCommerce authentication request is generated based on comparison of the merchant information of the eCommerce authentication request to merchant information of eCommerce authentication requests of a plurality of merchant nodes. The eCommerce authentication request is selectively provided to an authentication node based on the risk score.

Abstract: An embodiment of the invention provides a method for non-intrusive cloud services billing, including storing service log files in a data store, wherein each of the service log files include a lifecycle event of a resource in a service produced by an instance of the service. A log transformer connected to the data store converts the service log files into a standardized format. A metering descriptor describing billable entities for each offering of the service is obtained, wherein each offering of the service has a different metering descriptor, and wherein the billable entities include multiple categories of billing. A billing record generator connected to the log transformer is programmed, wherein the billing record generator converts standardized log records into metering records. The billing record generator generates a metering record with one or more of the service log files in the standardized format and the metering descriptor.

Abstract: Various embodiments manage service labels for association with service specifications in a service-oriented environment. In one embodiment at least one candidate service label is received from a user associated with a service domain of a distributed federated service-oriented environment. The candidate service label includes at least one of a service type and a set of terms characterizing a service. The candidate service label is sent to a community of users associated with one or more service domains in the distributed federated service-oriented environment. One of a vote for accepting the candidate service label and a vote for rejecting the candidate service label is received from each of a plurality of users in the community of users. The candidate service label is stored as an accepted service label in the service domain based on a number of votes for accepting the candidate service label being above a given threshold.

Abstract: Techniques for structure-aware caching are provided. The techniques include decomposing a response from an origin server into one or more independently addressable objects, using a domain specific language to navigate the response to identify the one or more addressable objects and create one or more access paths to the one or more objects, and selecting a route to an object by navigating an internal structure of a cached object to discover one or more additional independently addressable objects.

Abstract: A system in a cloud services environment comprises one or more service offerings, one or more service instances and one or more service support utilities. Each of the one or more service offerings is described by at least one service descriptor. Each of the one or more service instances is obtained from at least one of the one or more service offerings. Each of the one or more service support utilities is customized by at least one service descriptor. A service comprises at least one component and a service descriptor comprises one or more models.

Abstract: Transaction data is processed by first determining transactions in a database that are associated with a respective event that indicates a classification of interest and that share at least one common point of purchase (CPP) identifier across two or more of the determined transactions associated with the classification of interest. A set of the transactions in the database are determined, based on the CPP identifiers for transactions from as time period prior to a start time of the event and accounts associated with the event. Times of occurrence for the transactions in the set are determined, based on the CPP, and a score is generated for the received transaction for any transactions associated with at least one of the respective events and sharing at least one common CPP.

Abstract: Systems and methods are provided for operation upon data processing devices are provided for operating with a fraud detection system. As an example, a system and method can be configured for receiving, throughout a current day in real-time or near real-time, financial transaction data representative of financial transactions initiated by different entities. At multiple times throughout the day, a summarization of the financial transaction data (which has been received within a time period within the current day) is generated. The generated summarization is used to determine whether fraud has occurred with respect to a financial transaction contained in the received authorization data or with respect to a subsequently occurring financial transaction.

Abstract: Systems and methods for using historical and current financial transaction data in implementing a marketing strategy are provided. A system and method can include updating stored signature data using current data associated with an entity. The signature data includes historic data including credit card transactions or debit card transactions associated with the entity. One or more model variables are generated using the updated signature data associated with the entity. A marketing score for the entity is determined by applying one or more model variables to a marketing model. The marketing score indicates a likelihood that the entity will respond to an offer. Whether the marketing score exceeds a predetermined marketing threshold is determined. Based upon determining that the marketing score exceeds the predetermined marketing threshold and determining that the entity is within the geographic area, an indication for triggering transmission of the offer to the entity is generated.

Abstract: Systems and methods for matching domain-specific transactions are provided. Some of the disclosed systems and methods can include receiving, on a computing device, transaction data associated with an entity, retrieving signature data associated with the entity, wherein the signature data includes historic data associated with the entity; updating the signature data to include the transaction data, wherein updating includes using a model, and generating a score for the transaction data using the updated signature data and the model. The disclosed system and method further includes receiving new transaction data associated with the entity; retrieving the updated signature data associated with the entity; determining whether the transaction data and the new transaction data are related, and if so, updating the transaction data with the new transaction data, and generating a score for the updated transaction data using the updated signature data and the model.

Abstract: Systems and methods for using online activity data in implementing a marketing strategy are provided. A system and method can include generating, on a computing device, variables using signature data that includes historic clickstream data and current clickstream data associated with an entity. A subset of the variables can be identified using a covariance matrix for the variables. Scores can be generated by applying the subset of the variables to models. Weighted scores can be generated by associating weights with the scores. The weighted scores can be used for selecting online advertisements. Target data can be received that includes online advertisement click data associated with the entity. New scores of the current data can be generated using the models. The weights associated with the new scores can be modified using the target data.

Abstract: A system in a cloud services environment comprises one or more service offerings, one or more service instances and one or more service support utilities. Each of the one or more service offerings is described by at least one service descriptor. Each of the one or more service instances is obtained from at least one of the one or more service offerings. Each of the one or more service support utilities is customized by at least one service descriptor. A service comprises at least one component and a service descriptor comprises one or more models.

Abstract: Various embodiments manage service labels for association with service specifications in a service-oriented environment. In one embodiment at least one candidate service label is received from a user associated with a service domain of a distributed federated service-oriented environment. The candidate service label includes at least one of a service type and a set of terms characterizing a service. The candidate service label is sent to a community of users associated with one or more service domains in the distributed federated service-oriented environment. One of a vote for accepting the candidate service label and a vote for rejecting the candidate service label is received from each of a plurality of users in the community of users. The candidate service label is stored as an accepted service label in the service domain based on a number of votes for accepting the candidate service label being above a given threshold.

Abstract: Various embodiments manage service labels for association with service specifications in a service-oriented environment. In one embodiment at least one candidate service label is received from a user associated with a service domain of a distributed federated service-oriented environment. The candidate service label includes at least one of a service type and a set of terms characterizing a service. The candidate service label is sent to a community of users associated with one or more service domains in the distributed federated service-oriented environment. One of a vote for accepting the candidate service label and a vote for rejecting the candidate service label is received from each of a plurality of users in the community of users. The candidate service label is stored as an accepted service label in the service domain based on a number of votes for accepting the candidate service label being above a given threshold.

Abstract: Systems and methods for performing fraud detection. As an example, a system and method can be configured to contain a raw data repository for storing raw data related to financial transactions. A data store contains rules to indicate how many generations or to indicate a time period within which data items are to be stored in the raw data repository. Data items stored in the raw data repository are then accessed by a predictive model in order to perform fraud detection.

Abstract: Systems, methods, apparatus and articles of manufacture are disclosed for tracking, propagation and matching of messages pertaining to the interest in and availability of services across autonomous service domains. In one embodiment of the invention, a system of distributed, federated service domains in a service-oriented environment is provided wherein each service domain comprises: a plurality of locally provided services; a plurality of service requesters; and a service registry comprising descriptions of: one or more locally provided services; and one or more requested services, each of the requested services being one of: a fulfilled reference to a foreign service; and an unfulfilled reference to a foreign service.

Abstract: Computer-implemented systems and methods for determining a subset of unknown targets to investigate. For example, a method can be configured to receive a target data set, wherein the target data set includes known targets and unknown targets. A supervised model such as a neural network model is generated using the known targets. The unknown targets are used with the neural network model to generate values for the unknown targets. Analysis with an unsupervised model is performed using the target data set in order to determine which of the unknown targets are outliers. A comparison of list of outlier unknown targets is performed with the values for the unknown targets that were generated by the neural network model. The subset of unknown targets to investigate is determined based upon the comparison.