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:
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:
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:
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 are provided for scoring transaction data representative of transactions of disparate types transaction data describing a transaction that has occurred is received. The transaction data is stored in a plurality of segments, where a segment is formatted according to a template, where the template is selected based on an attribute of the transaction, and where the attribute is a customer attribute, an activity attribute, or a channel attribute. Transaction data associated with a segment is aggregated based on a particular attribute. The aggregate transaction data is provided to a predictive model to generate a fraud score. New transaction data is received describing a new transaction, wherein the new transaction includes the particular attribute. A real-time score is provided indicating a likelihood of fraud for the new transaction, wherein the score is based at least in part on the fraud score generated using the aggregate transaction data.
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:
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:
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, 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.