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    Continuous System Health Indicator For Managing Computer System Alerts
    2.
    发明申请
    Continuous System Health Indicator For Managing Computer System Alerts 有权
    用于管理计算机系统警报的连续系统健康指示器

    公开(公告)号：US20120072780A1

    公开(公告)日：2012-03-22

    申请号：US12886891

    申请日：2010-09-21

    申请人： Prashanth Kini ,  Richard Tauriello ,  Marcos M. Campos ,  Boriana Milenova ,  Andres V. Lubomirsky ,  Charlie Sum

    发明人： Prashanth Kini ,  Richard Tauriello ,  Marcos M. Campos ,  Boriana Milenova ,  Andres V. Lubomirsky ,  Charlie Sum

    IPC分类号： G06F11/30

    CPC分类号： G06F11/328 ,  G06F11/3419 ,  G06F11/3452 ,  G06F11/3466 ,  G06F2201/865

    摘要： A method is provided for detecting when users are being adversely impacted by poor system performance. A system health indicator is determined that is based on the amount of work that is blocked waiting for each of a set of an external events and combined with a heuristic that is based on the number of users waiting for the work to complete. The system health indicator is compared to a threshold such that an alert is generated when the system health indicator crosses the threshold. However, the system health indicator is designed so that an alert is only generated when a significant user base is or will in the near future experience a problem with the system. Furthermore, the system health indicator is designed to vary smoothly to maintain its suitability for the application of predictive technology.

    摘要翻译： 提供了一种用于检测何时用户受到不良系统性能的不利影响的方法。 确定系统健康指示器，其基于等待一组外部事件中的每一个的被阻止的工作量，并且基于等待工作完成的用户数量的启发式组合。 将系统运行状况指示器与阈值进行比较，以便在系统运行状况指示符越过阈值时生成警报。 然而，系统运行状况指示器被设计成只有当重要的用户基础在不久的将来或将来会遇到系统问题时才产生警报。 此外，系统健康指标设计为顺利变化，以保持其适用于预测技术的应用。

    Continuous system health indicator for managing computer system alerts
    3.
    发明授权
    Continuous system health indicator for managing computer system alerts 有权
    用于管理计算机系统警报的持续系统运行状况指示器

    公开(公告)号：US08458530B2

    公开(公告)日：2013-06-04

    申请号：US12886891

    申请日：2010-09-21

    申请人： Prashanth Kini ,  Richard Tauriello ,  Marcos M. Campos ,  Boriana Milenova ,  Andres V. Lubomirsky ,  Charlie Sum

    发明人： Prashanth Kini ,  Richard Tauriello ,  Marcos M. Campos ,  Boriana Milenova ,  Andres V. Lubomirsky ,  Charlie Sum

    IPC分类号： G06F11/00

    CPC分类号： G06F11/328 ,  G06F11/3419 ,  G06F11/3452 ,  G06F11/3466 ,  G06F2201/865

    摘要： A method is provided for detecting when users are being adversely impacted by poor system performance. A system health indicator is determined that is based on the amount of work that is blocked waiting for each of a set of an external events and combined with a heuristic that is based on the number of users waiting for the work to complete. The system health indicator is compared to a threshold such that an alert is generated when the system health indicator crosses the threshold. However, the system health indicator is designed so that an alert is only generated when a significant user base is or will in the near future experience a problem with the system. Furthermore, the system health indicator is designed to vary smoothly to maintain its suitability for the application of predictive technology.

    摘要翻译： 提供了一种用于检测何时用户受到不良系统性能的不利影响的方法。 确定系统健康指示器，其基于等待一组外部事件中的每一个的被阻止的工作量，并且基于等待工作完成的用户数量的启发式组合。 将系统运行状况指示器与阈值进行比较，以便在系统运行状况指示符越过阈值时生成警报。 然而，系统运行状况指示器被设计成只有当重要的用户基础在不久的将来或将来会遇到系统问题时才产生警报。 此外，系统健康指标设计为顺利变化，以保持其适用于预测技术的应用。

    Support vector machines in a relational database management system
    6.
    发明申请
    Support vector machines in a relational database management system 有权
    在关系数据库管理系统中支持向量机

    公开(公告)号：US20050050087A1

    公开(公告)日：2005-03-03

    申请号：US10927024

    申请日：2004-08-27

    申请人： Boriana Milenova ,  Joseph Yarmus ,  Marcos Campos ,  Mark McCracken

    发明人： Boriana Milenova ,  Joseph Yarmus ,  Marcos Campos ,  Mark McCracken

    IPC分类号： G06F17/00 ,  G06F17/30

    CPC分类号： G06F17/30598 ,  Y10S707/99933 ,  Y10S707/99943

    摘要： An implementation of SVM functionality integrated into a relational database management system (RDBMS) improves efficiency, time consumption, and data security, reduces the parameter tuning challenges presented to the inexperienced user, and reduces the computational costs of building SVM models. A database management system comprises data stored in the database management system and a processing unit comprising a client application programming interface operable to provide an interface to client software, a build unit operable to build a support vector machine model on at least a portion of the data stored in the database management system, and an apply unit operable to apply the support vector machine model using the data stored in the database management system. The database management system may be a relational database management system.

    摘要翻译： 集成到关系数据库管理系统（RDBMS）中的SVM功能的实现提高了效率，时间消耗和数据安全性，减少了对经验不足的用户提出的参数调优挑战，并降低了构建SVM模型的计算成本。 数据库管理系统包括存储在数据库管理系统中的数据和处理单元，该处理单元包括可操作以向客户端软件提供接口的客户端应用编程接口，可操作以在数据的至少一部分上构建支持向量机模型的构建单元 存储在数据库管理系统中的应用单元，以及可以使用存储在数据库管理系统中的数据应用支持向量机模型的应用单元。 数据库管理系统可以是关系数据库管理系统。

    PROJECTION MINING FOR ADVANCED RECOMMENDATION SYSTEMS AND DATA MINING
    7.
    发明申请
    PROJECTION MINING FOR ADVANCED RECOMMENDATION SYSTEMS AND DATA MINING 审中-公开
    用于高级建议系统和数据挖掘的投影采矿

    公开(公告)号：US20090276403A1

    公开(公告)日：2009-11-05

    申请号：US12324295

    申请日：2008-11-26

    申请人： Pablo Tamayo ,  Mark Hornick ,  Marcos M. Campos ,  Boriana Milenova

    发明人： Pablo Tamayo ,  Mark Hornick ,  Marcos M. Campos ,  Boriana Milenova

    IPC分类号： G06F17/30 ,  G06F15/18 ,  G06F7/78

    CPC分类号： G06N20/00 ,  G06Q10/109

    摘要： A method for projection mining comprises performing a first projection on a first data object of a first type comprising a plurality of data entries and a second data object of a second type comprising a plurality of data entries to create definitions of attributes of the first data object and definitions of attributes of the second data object, performing a second projection of the definitions of the attributes of the first data object and the definitions of the attributes of the second data object into a space of meta-attributes based on semantic relationships among the attributes of the first data object and the second data object, learning relationships between the space of meta-attributes formed by the projections of the first data object and the second data object and a space of meta-attributes relating to new data not included in the first data object and the second data object, and generating at least one new data object of the first or second type based on the new data using the learned relationships.

    摘要翻译： 一种用于投影挖掘的方法包括在包括多个数据条目的第一类型的第一数据对象上执行第一投影和包括多个数据条目的第二类型的第二数据对象，以创建第一数据对象的属性的定义 以及第二数据对象的属性的定义，基于属性之间的语义关系执行第一数据对象的属性的定义和第二数据对象的属性的定义的第二投影到元属性的空间中 所述第一数据对象和所述第二数据对象之间的所述第一数据对象与所述第二数据对象的投影所形成的元属性的空间之间的学习关系以及与不包括在所述第一数据对象 数据对象和第二数据对象，并且基于使用t的新数据生成第一或第二类型的至少一个新的数据对象 他学会了关系。

    Predictive data mining SQL functions (operators)
    8.
    发明申请
    Predictive data mining SQL functions (operators) 审中-公开
    预测数据挖掘SQL函数（运算符）

    公开(公告)号：US20060218132A1

    公开(公告)日：2006-09-28

    申请号：US11088858

    申请日：2005-03-25

    申请人： Denis Mukhin ,  Boriana Milenova ,  Peter Stengard ,  Ramkumar Krishnan ,  Marcos Campos ,  Ari Mozes

    发明人： Denis Mukhin ,  Boriana Milenova ,  Peter Stengard ,  Ramkumar Krishnan ,  Marcos Campos ,  Ari Mozes

    IPC分类号： G06F17/30

    CPC分类号： G06F16/24553 ,  G06F2216/03

    摘要： A system and computer program product provides data mining model deployment (scoring) functionality as a family of SQL functions (operators). A database management system comprises a processor operable to execute computer program instructions, a memory operable to store computer program instructions executable by the processor, and computer program instructions stored in the memory and executable to implement a plurality of database query language statements, each statement operable to cause a data mining function to be performed.

    摘要翻译： 系统和计算机程序产品提供数据挖掘模型部署（评分）功能作为一系列SQL函数（运算符）。 数据库管理系统包括可操作以执行计算机程序指令的处理器，可操作以存储可由所述处理器执行的计算机程序指令的存储器以及存储在所述存储器中并可执行以执行多个数据库查询语言语句的计算机程序指令的存储器， 以进行数据挖掘功能。

    Data-centric automatic data mining
    9.
    发明申请
    Data-centric automatic data mining 有权

    公开(公告)号：US20060136462A1

    公开(公告)日：2006-06-22

    申请号：US11012350

    申请日：2004-12-16

    申请人： Marcos Campos ,  Boriana Milenova ,  Peter Stengard

    发明人： Marcos Campos ,  Boriana Milenova ,  Peter Stengard

    IPC分类号： G06F17/00

    CPC分类号： G06F17/30598 ,  G06F17/30539 ,  Y10S707/99931 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99956

    摘要： A data-centric data mining technique provides greater ease of use and flexibility, yet provides high quality data mining results by providing general methodologies for automatic data mining. A methodology for each major type of mining function is provided, including: supervised modeling (classification and regression), feature selection, and ranking, clustering, outlier detection, projection of the data to lower dimensionality, association discovery, and data source comparison. A method for data-centric data mining comprises invoking a data mining feature to perform data mining on a data source, performing data mining on data from the data source using the data mining feature, wherein the data mining feature uses data mining processes and objects internal to the data mining feature and does not use data mining processes and objects external to the data mining feature, outputting data mining results from the data mining feature, and removing all data mining processes and objects internal to the data mining feature that were used to process the data from the data source.

    Support vector machines processing system
    10.
    发明申请
    Support vector machines processing system 有权
    支持向量机处理系统

    公开(公告)号：US20050049990A1

    公开(公告)日：2005-03-03

    申请号：US10927111

    申请日：2004-08-27

    申请人： Boriana Milenova ,  Joseph Yarmus ,  Marcos Campos ,  Mark McCracken

    发明人： Boriana Milenova ,  Joseph Yarmus ,  Marcos Campos ,  Mark McCracken

    IPC分类号： G06F7/00 ,  G06F15/18 ,  G06F17/00 ,  G06F17/30 ,  G06N5/00 ,  G06N5/02

    CPC分类号： G06F17/30595 ,  G06F2216/03 ,  G06K9/6253 ,  G06K9/6269

    摘要： An implementation of SVM functionality improves efficiency, time consumption, and data security, reduces the parameter tuning challenges presented to the inexperienced user, and reduces the computational costs of building SVM models. A system for support vector machine processing comprises data stored in the system, a client application programming interface operable to provide an interface to client software, a build unit operable to build a support vector machine model on at least a portion of the data stored in the system, based on a plurality of model-building parameters, a parameter estimation unit operable to estimate values for at least some of the model-building parameters, and an apply unit operable to apply the support vector machine model using the data stored in the system.

    摘要翻译： SVM功能的实现提高了效率，时间消耗和数据安全性，减少了对经验不足的用户提出的参数调优挑战，并降低了构建SVM模型的计算成本。 用于支持向量机处理的系统包括存储在系统中的数据，可操作以向客户端软件提供接口的客户端应用程序编程接口，可构建单元，用于在存储在所述系统中的数据的至少一部分上构建支持向量机模型 系统，基于多个模型构建参数，参数估计单元，其可操作以估计至少一些模型建立参数的值;以及应用单元，可操作以使用存储在系统中的数据应用支持向量机模型 。