公开(公告)号：US08214364B2

公开(公告)日：2012-07-03

申请号：US12124274

申请日：2008-05-21

申请人： Joseph P. Bigus ,  Leon Gong ,  Christoph Lingenfelder

发明人： Joseph P. Bigus ,  Leon Gong ,  Christoph Lingenfelder

IPC分类号： G06F17/30

CPC分类号： G06F21/552 ,  G06F21/316

摘要： Embodiments of the invention provide a method for detecting changes in behavior of authorized users of computer resources and reporting the detected changes to the relevant individuals. The method includes evaluating actions performed by each user against user behavioral models and business rules. As a result of the analysis, a subset of users may be identified and reported as having unusual or suspicious behavior. In response, the management may provide feedback indicating that the user behavior is due to the normal expected business needs or that the behavior warrants further review. The management feedback is available for use by machine learning algorithms to improve the analysis of user actions over time. Consequently, investigation of user actions regarding computer resources is facilitated and data loss is prevented more efficiently relative to the prior art approaches with only minimal disruption to the ongoing business processes.

摘要翻译： 本发明的实施例提供了一种用于检测计算机资源的授权用户的行为变化并将检测到的变化报告给相关个人的方法。 该方法包括评估每个用户针对用户行为模型和业务规则执行的动作。 作为分析的结果，可以识别和报告用户的一部分具有不寻常或可疑行为。 作为回应，管理层可以提供反馈意见，指出用户行为是由于正常的预期业务需求或行为值得进一步审查。 管理反馈可供机器学习算法使用，以改善用户随时间的行为分析。 因此，相对于现有技术方法，对于计算机资源的用户行为的调查被有助于更有效地防止数据丢失，而对正在进行的业务流程的中断只是最小的。

公开(公告)号：US20090292743A1

公开(公告)日：2009-11-26

申请号：US12124274

申请日：2008-05-21

申请人： Joseph P. Bigus ,  Leon Gong ,  Christoph Lingenfelder

发明人： Joseph P. Bigus ,  Leon Gong ,  Christoph Lingenfelder

IPC分类号： G06F12/00

CPC分类号： G06F21/552 ,  G06F21/316

摘要： Embodiments of the invention provide a method for detecting changes in behavior of authorized users of computer resources and reporting the detected changes to the relevant individuals. The method includes evaluating actions performed by each user against user behavioral models and business rules. As a result of the analysis, a subset of users may be identified and reported as having unusual or suspicious behavior. In response, the management may provide feedback indicating that the user behavior is due to the normal expected business needs or that the behavior warrants further review. The management feedback is available for use by machine learning algorithms to improve the analysis of user actions over time. Consequently, investigation of user actions regarding computer resources is facilitated and data loss is prevented more efficiently relative to the prior art approaches with only minimal disruption to the ongoing business processes.

摘要翻译： 本发明的实施例提供了一种用于检测计算机资源的授权用户的行为变化并将检测到的变化报告给相关个人的方法。 该方法包括评估每个用户针对用户行为模型和业务规则执行的动作。 作为分析的结果，可以识别和报告用户的一部分具有不寻常或可疑行为。 作为回应，管理层可以提供反馈意见，指出用户行为是由于正常的预期业务需求或行为值得进一步审查。 管理反馈可供机器学习算法使用，以改善用户随时间的行为分析。 因此，相对于现有技术方法，对于计算机资源的用户行为的调查被有助于更有效地防止数据丢失，而对正在进行的业务流程的中断只是最小的。

公开(公告)号：US5617511A

公开(公告)日：1997-04-01

申请号：US459858

申请日：1995-06-02

申请人： Joseph P. Bigus

发明人： Joseph P. Bigus

IPC分类号： G06N3/04 ,  G06F15/18

CPC分类号： G06N3/04

摘要： A neural network shell has a defined interface to an application program. By interfacing with the neural network shell, any application program becomes a neural network application program. The neural network shell contains a set of utility programs that transfers data into and out of a neural network data structure. This set of utility programs allows an application program to define a new neural network model, create a neural network data structure, train a neural network, and run a neural network. Once trained, the neural network data structure can be transported to other computer systems or to application programs written in different computing languages running on similar or different computer systems.

公开(公告)号：US5613043A

公开(公告)日：1997-03-18

申请号：US459213

申请日：1995-06-02

申请人： Joseph P. Bigus

发明人： Joseph P. Bigus

IPC分类号： G06N3/04 ,  G06F15/18

CPC分类号： G06N3/04

摘要： A neural network shell has a defined interface to an application program. By interfacing with the neural network shell, any application program becomes a neural network application program. The neural network shell contains a set of utility programs that transfers data into and out of a neural network data structure. This set of utility programs allows an application program to define a new neural network model, create a neural network data structure, train a neural network, and run a neural network. Once trained, the neural network data structure can be transported to other computer systems or to application programs written in different computing languages running on similar or different computer systems.

公开(公告)号：US5615307A

公开(公告)日：1997-03-25

申请号：US460361

申请日：1995-06-02

申请人： Joseph P. Bigus

发明人： Joseph P. Bigus

IPC分类号： G06N3/04 ,  G06F15/18

CPC分类号： G06N3/04

摘要： A neural network shell has a defined interface to an application program. By interfacing with the neural network shell, any application program becomes a neural network application program. The neural network shell contains a set of utility programs that transfers data into and out of a neural network data structure. This set of utility programs allows an application program to define a new neural network model, create a neural network data structure, train a neural network, and run a neural network. Once trained, the neural network data structure can be transported to other computer systems or to application programs written in different computing languages running on similar or different computer systems.

公开(公告)号：US5442730A

公开(公告)日：1995-08-15

申请号：US134764

申请日：1993-10-08

申请人： Joseph P. Bigus

发明人： Joseph P. Bigus

IPC分类号： G06G7/60 ,  G06F9/46 ,  G06F9/48 ,  G06F9/50 ,  G06F15/18

CPC分类号： G06F9/4881

摘要： A job scheduler makes decisions concerning the order and frequency of access to a resource according to a substantially optimum delay cost function. The delay cost function is a single value function of one or more inputs, where at least one of the inputs is a delay time which increases as a job waits for service. The job scheduler is preferably used by a multi-user computer operating system to schedule jobs of different classes. The delay cost functions are preferably implemented by neural networks. The user specifies desired performance objectives for each job class. The computer system runs for a specified period of time, collecting data on system performance. The differences between the actual and desired performance objectives are computed, and used to adaptively train the neural network. The process repeats until the delay cost functions stabilize near optimum value. However, if the system configuration, workload, or desired performance objectives change, the neural network will again start to adapt.

摘要翻译： 作业调度器根据基本上最佳的延迟成本函数做出关于资源访问顺序和频率的决定。 延迟成本函数是一个或多个输入的单值函数，其中至少一个输入是随着作业等待服务而增加的延迟时间。 作业调度程序优选地由多用户计算机操作系统使用以调度不同类别的作业。 延迟成本函数优选地由神经网络实现。 用户为每个作业类别指定所需的性能目标。 计算机系统运行指定的时间段，收集有关系统性能的数据。 计算实际和期望性能目标之间的差异，并用于自适应训练神经网络。 该过程重复，直到延迟成本函数稳定在最佳值附近。 然而，如果系统配置，工作负载或期望的性能目标改变，神经网络将再次开始适应。

公开(公告)号：US5222196A

公开(公告)日：1993-06-22

申请号：US849116

申请日：1992-03-10

申请人： Joseph P. Bigus

发明人： Joseph P. Bigus

IPC分类号： G06N3/04

CPC分类号： G06N3/04

摘要： A neural network shell has a defined interface to an application program. By interfacing with the neural network shell, any application program becomes a neural network application program. The neural network shell contains a set of utility programs that transfers data into and out of a neural network data structure. This set of utility programs allows an application program to define a new neural network model, create a neural network data structure, train a neural network, and run a neural network. Once trained, the neural network data structure can be transported to other computer systems or to application programs written in different computing languages running on similar or different computer systems.

摘要翻译： 神经网络shell具有与应用程序的定义接口。 通过与神经网络shell接口，任何应用程序都将成为神经网络应用程序。 神经网络shell包含一组将数据传入和传出神经网络数据结构的实用程序。 这套实用程序允许应用程序定义一个新的神经网络模型，创建一个神经网络数据结构，训练一个神经网络，并运行一个神经网络。 一旦被训练，神经网络数据结构可以被传输到其他计算机系统或以类似或不同计算机系统上运行的不同计算语言编写的应用程序。

公开(公告)号：US07925984B2

公开(公告)日：2011-04-12

申请号：US10403950

申请日：2003-03-31

申请人： Jeffrey T. Awe ,  Joseph P. Bigus ,  Anthony M. Dunbar ,  Gregory R. Hintermeister ,  Jacob Kugel ,  Donald A. Schlosnagle

发明人： Jeffrey T. Awe ,  Joseph P. Bigus ,  Anthony M. Dunbar ,  Gregory R. Hintermeister ,  Jacob Kugel ,  Donald A. Schlosnagle

IPC分类号： G06F3/00 ,  G06F9/00 ,  G06F17/00

CPC分类号： H04L41/22 ,  H04L41/046 ,  H04L41/0806 ,  H04L41/0879

摘要： The present invention generally relates to intelligent software agents. Each agent has an associated user interface panel through which the agent may be configured/customized. A remotely located user desiring to configure a particular agent issues a request for the associated user interface panel. The user interface panel may be provided to the user via, for example, a network connection. The user may then make the desired changes to the agent via the user interface panel. In this way, remote configuration of an agent is possible.

摘要翻译： 本发明一般涉及智能软件代理。 每个代理都有一个关联的用户界面面板，通过它可以配置/定制代理。 希望配置特定代理的远程用户向相关联的用户界面面板发出请求。 可以通过例如网络连接将用户界面面板提供给用户。 然后，用户可以经由用户界面面板对代理进行所需的改变。 以这种方式，可以远程配置代理。

公开(公告)号：US07467066B2

公开(公告)日：2008-12-16

申请号：US11418740

申请日：2006-05-05

申请人： Kay S. Anderson ,  Joseph P. Bigus ,  Eric Bouillet ,  Parijat Dube ,  Zhen Liu ,  Dimitrios Pendarakis

发明人： Kay S. Anderson ,  Joseph P. Bigus ,  Eric Bouillet ,  Parijat Dube ,  Zhen Liu ,  Dimitrios Pendarakis

IPC分类号： G06F15/00 ,  G01R31/00

CPC分类号： G06F11/263

摘要： A system, method, and computer program product for benchmarking a stream processing system are disclosed. The method comprises generating a plurality of correlated test streams. A semantically related data set is embedded within each of the test streams in the plurality of correlated test streams. The plurality of correlated test streams is provided to at least one stream processing system. A summary is generated for each of the semantically related embedded data sets. A common identifier, which is transparent to the system being tested, is embedded within each stream in the plurality of correlated test streams. The common identifier is extracted from the output data set generated by the stream processing system. At least one of the stored copies of the summaries and the common identifier are compared to an output data set including a set of zero or more correlation results generated by the stream processing system.

摘要翻译： 公开了一种用于基准流处理系统的系统，方法和计算机程序产品。 该方法包括生成多个相关测试流。 语义相关的数据集嵌入在多个相关测试流中的每个测试流内。 多个相关测试流被提供给至少一个流处理系统。 为每个语义相关的嵌入式数据集生成一个摘要。 对被测系统透明的公共标识符嵌入在多个相关测试流中的每个流内。 从流处理系统生成的输出数据集中提取公共标识符。 将总结的存储副本和公共标识符中的至少一个与包括由流处理系统生成的一组零个或多个相关结果的输出数据集进行比较。

公开(公告)号：US20080228443A1

公开(公告)日：2008-09-18

申请号：US11926208

申请日：2007-10-29

申请人： KAY S. ANDERSON ,  Joseph P. Bigus ,  Eric Bouillet ,  Parijat Dube ,  Zhen Liu ,  Dimitrios Pendarakis

发明人： KAY S. ANDERSON ,  Joseph P. Bigus ,  Eric Bouillet ,  Parijat Dube ,  Zhen Liu ,  Dimitrios Pendarakis

IPC分类号： G06F19/00

CPC分类号： G06F11/263

摘要： A system, method, and computer program product for benchmarking a stream processing system are disclosed. The method comprises generating a plurality of correlated test streams. A semantically related data set is embedded within each of the test streams in the plurality of correlated test streams. The plurality of correlated test streams is provided to at least one stream processing system. A summary is generated for each of the semantically related embedded data sets. A common identifier, which is transparent to the system being tested, is embedded within each stream in the plurality of correlated test streams. The common identifier is extracted from the output data set generated by the stream processing system. At least one of the stored copies of the summaries and the common identifier are compared to an output data set including a set of zero or more correlation results generated by the stream processing system.

摘要翻译： 公开了一种用于基准流处理系统的系统，方法和计算机程序产品。 该方法包括生成多个相关测试流。 语义相关的数据集嵌入在多个相关测试流中的每个测试流内。 多个相关测试流被提供给至少一个流处理系统。 为每个语义相关的嵌入式数据集生成一个摘要。 对被测系统透明的公共标识符嵌入在多个相关测试流中的每个流内。 从流处理系统生成的输出数据集中提取公共标识符。 将总结的存储副本和公共标识符中的至少一个与包括由流处理系统生成的一组零个或多个相关结果的输出数据集进行比较。