Method and System for Matching Interest and Availability of Services in Distributed Federated Service Domains
    2.
    发明申请
    Method and System for Matching Interest and Availability of Services in Distributed Federated Service Domains 失效
    在分布式联合服务领域匹配服务的兴趣和可用性的方法和系统

    公开(公告)号:US20110125903A1

    公开(公告)日:2011-05-26

    申请号:US12625806

    申请日:2009-11-25

    CPC classification number: G06F9/5055

    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 translation: 公开了用于跟踪,传播和匹配关于跨越自主服务域的服务的兴趣和可用性的消息的系统,方法,装置和制品在本发明的一个实施例中,服务中的分布式,联合服务域的系统 提供了一种面向对象的环境,其中每个服务域包括:多个本地提供的服务; 多个服务请求者; 以及包括以下描述的服务注册表:一个或多个本地提供的服务; 和一个或多个所请求的服务,每个所请求的服务是以下之一:对外部服务的满足的引用; 和对外国服务的未兑现的参考。

    MANAGING SERVICE SPECIFICATIONS AND THE DISCOVERY OF ASSOCIATED SERVICES
    4.
    发明申请
    MANAGING SERVICE SPECIFICATIONS AND THE DISCOVERY OF ASSOCIATED SERVICES 审中-公开
    管理服务规范和相关服务的发现

    公开(公告)号:US20140006576A1

    公开(公告)日:2014-01-02

    申请号:US13535822

    申请日:2012-06-28

    CPC classification number: H04L41/00 G06Q10/103

    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 translation: 各种实施例在面向服务的环境中管理与服务规范相关联的服务标签。 在一个实施例中,从与分布式联合的面向服务的环境的服务域相关联的用户接收至少一个候选服务标签。 候选服务标签包括服务类型和表征服务的一组术语中的至少一个。 候选服务标签被发送到与分布式联合的面向服务的环境中的一个或多个服务域相关联的用户社区。 从用户社区中的多个用户的每个用户接收候选服务标签的接受投票和拒绝候选服务标签的投票。 基于用于接受候选服务标签高于给定阈值的多个投票,候选服务标签作为接受的服务标签存储在服务域中。

    Computer-Implemented Systems And Methods For Scoring Stored Enterprise Data
    5.
    发明申请
    Computer-Implemented Systems And Methods For Scoring Stored Enterprise Data 审中-公开
    计算机实现的系统和方法对存储的企业数据进行评分

    公开(公告)号:US20120317013A1

    公开(公告)日:2012-12-13

    申请号:US13158995

    申请日:2011-06-13

    CPC classification number: G06Q40/025 G06Q20/4016

    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 translation: 提供了系统和方法,用于评估表示描述已经发生的事务的不同类型的事务数据的事务的事务数据。 交易数据存储在多个段中,其中根据模板格式化段,其中基于事务的属性来选择模板,并且其中属性是客户属性,活动属性或频道 属性。 基于特定属性来聚合与段相关联的事务数据。 将总交易数据提供给预测模型以产生欺诈分数。 收到描述新交易的新交易数据,其中新交易包括特定属性。 提供实时分数指示新交易的欺诈可能性,其中分数至少部分地基于使用总交易数据产生的欺诈评分。

    Structure-Aware Caching
    6.
    发明申请
    Structure-Aware Caching 有权
    结构感知缓存

    公开(公告)号:US20120278558A1

    公开(公告)日:2012-11-01

    申请号:US13094039

    申请日:2011-04-26

    CPC classification number: G06F12/08 G06F17/30902 H04L67/2842

    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 translation: 提供了结构感知缓存技术。 这些技术包括:使用域特定语言来导航响应以识别一个或多个可寻址对象并创建到该一个或多个对象的一个​​或多个访问路径,将起始服务器的响应分解成一个或多个独立可寻址对象,以及 通过导航缓存对象的内部结构来发现一个或多个附加的独立可寻址对象来选择到对象的路由。

    Structure-aware caching
    7.
    发明授权
    Structure-aware caching 有权
    结构感知缓存

    公开(公告)号:US08867337B2

    公开(公告)日:2014-10-21

    申请号:US13094039

    申请日:2011-04-26

    CPC classification number: G06F12/08 G06F17/30902 H04L67/2842

    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 translation: 提供了结构感知缓存技术。 这些技术包括:使用域特定语言来导航响应以识别一个或多个可寻址对象并创建到该一个或多个对象的一个​​或多个访问路径,将起始服务器的响应分解成一个或多个独立可寻址对象,以及 通过导航缓存对象的内部结构来发现一个或多个附加的独立可寻址对象来选择到对象的路由。

    Matching interest and availability of services in distributed federated service domains
    9.
    发明授权
    Matching interest and availability of services in distributed federated service domains 失效
    在分布式联合服务领域匹配兴趣和服务的可用性

    公开(公告)号:US08352610B2

    公开(公告)日:2013-01-08

    申请号:US12625806

    申请日:2009-11-25

    CPC classification number: G06F9/5055

    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 translation: 公开了用于跟踪,传播和匹配有关跨越自主服务域的服务的兴趣和可用性的消息的系统,方法,装置和制品。 在本发明的一个实施例中,提供了一种面向服务的环境中的分布式联合服务域的系统,其中每个服务域包括:多个本地提供的服务; 多个服务请求者; 以及包括以下描述的服务注册表:一个或多个本地提供的服务; 和一个或多个所请求的服务,每个所请求的服务是以下之一:对外部服务的满足的引用; 和对外国服务的未兑现的参考。

    Computer-implemented semi-supervised learning systems and methods
    10.
    发明授权
    Computer-implemented semi-supervised learning systems and methods 有权
    计算机实施的半监督学习系统和方法

    公开(公告)号:US08346691B1

    公开(公告)日:2013-01-01

    申请号:US11850861

    申请日:2007-09-06

    CPC classification number: G06N3/08

    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.

    Abstract translation: 用于确定未知目标子集的计算机实现的系统和方法进行调查。 例如,可以将方法配置为接收目标数据集,其中目标数据集包括已知目标和未知目标。 使用已知目标产生诸如神经网络模型的监督模型。 未知目标与神经网络模型一起使用以生成未知目标的值。 使用目标数据集执行使用无监督模型的分析,以确定哪些未知目标是异常值。 使用由神经网络模型生成的未知目标的值来执行异常值未知目标列表的比较。 基于比较确定未知目标的子集。

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