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    PROJECTION MINING FOR ADVANCED RECOMMENDATION SYSTEMS AND DATA MINING
    1.
    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。

    Continuous System Health Indicator For Managing Computer System Alerts
    3.
    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
    4.
    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。

    Enhanced K-means clustering
    7.
    发明授权
    Enhanced K-means clustering 有权
    增强的K均值聚类

    公开(公告)号：US07590642B2

    公开(公告)日：2009-09-15

    申请号：US10424838

    申请日：2003-04-29

    申请人： Marcos M. Campos ,  Boriana L. Milenova ,  Mark A. McCracken

    发明人： Marcos M. Campos ,  Boriana L. Milenova ,  Mark A. McCracken

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30601 ,  G06F2216/03 ,  G06K9/6223 ,  Y10S707/99932 ,  Y10S707/99942 ,  Y10S707/99943

    摘要： A database management provides the capability to perform cluster analysis and provides improved performance in model building and data mining, good integration with the various databases throughout the enterprise, and flexible specification and adjustment of the models being built, but which provides data mining functionality that is accessible to users having limited data mining expertise and which provides reductions in development times and costs for data mining projects. The database management system for in-database clustering comprises a first data table and a second data table, each data table including a plurality of rows of data, means for building an enhanced K-means clustering model using the first data table, and means for applying the enhanced K-means clustering model using the second data table to generate apply output data.

    摘要翻译： 数据库管理提供执行集群分析的能力，并在模型构建和数据挖掘中提供改进的性能，与整个企业中的各种数据库的良好集成，以及正在构建的模型的灵活规范和调整，但提供了数据挖掘功能 数据挖掘专业知识有限的用户可以访问，并减少数据挖掘项目的开发时间和成本。 用于数据库内聚类的数据库管理系统包括第一数据表和第二数据表，每个数据表包括多行数据，用于使用第一数据表构建增强的K均值聚类模型的装置，以及用于 使用第二数据表应用增强的K均值聚类模型来生成应用输出数据。

    Orthogonal partitioning clustering
    8.
    发明授权
    Orthogonal partitioning clustering 有权
    正交分区聚类

    公开(公告)号：US07174344B2

    公开(公告)日：2007-02-06

    申请号：US10424852

    申请日：2003-04-29

    申请人： Marcos M. Campos ,  Boriana L. Milenova

    发明人： Marcos M. Campos ,  Boriana L. Milenova

    IPC分类号： G06F17/00

    CPC分类号： G06F17/30598 ,  G06K9/6223 ,  G06K9/6226 ,  Y10S707/99942 ,  Y10S707/99943

    摘要： A database management system provides the capability to perform cluster analysis and provides improved performance in model building and data mining, good integration with the various databases throughout the enterprise, and flexible specification and adjustment of the models being built, but which provides data mining functionality that is accessible to users having limited data mining expertise and which provides reductions in development times and costs for data mining projects. The database management system for in-database clustering comprises a first data table and a second data table, each data table including a plurality of rows of data, means for building an Orthogonal Partitioning Clustering model using the first data table, and means for applying the Orthogonal Partitioning Clustering model using the second data table to generate apply output data.

    摘要翻译： 数据库管理系统提供执行集群分析的能力，并在模型构建和数据挖掘中提供改进的性能，与整个企业中的各种数据库的良好集成，以及正在构建的模型的灵活规范和调整，但提供数据挖掘功能 对于具有有限的数据挖掘专业知识的用户可以访问，并减少数据挖掘项目的开发时间和成本。 用于数据库内聚类的数据库管理系统包括第一数据表和第二数据表，每个数据表包括多行数据，用于使用第一数据表构建正交分区聚类模型的装置，以及用于应用 正交分区聚类模型使用第二个数据表生成应用输出数据。

    In-database clustering
    9.
    发明授权
    In-database clustering 有权
    数据库内集群

    公开(公告)号：US07174343B2

    公开(公告)日：2007-02-06

    申请号：US10424761

    申请日：2003-04-29

    申请人： Marcos M. Campos ,  Boriana L. Milenova ,  Mark A. McCracken

    发明人： Marcos M. Campos ,  Boriana L. Milenova ,  Mark A. McCracken

    IPC分类号： G06F17/30 ,  G06F7/00

    CPC分类号： G06F17/30598 ,  G06K9/6223 ,  G06K9/6226 ,  Y10S707/99942 ,  Y10S707/99943

    摘要： A system, method, and computer program product for in-database clustering provides the capability to perform cluster analysis and provides improved performance in model building and data mining, good integration with the various databases throughout the enterprise, and flexible specification and adjustment of the models being built, but which provides data mining functionality that is accessible to users having limited data mining expertise and which provides reductions in development times and costs for data mining projects. A database management system for in-database clustering, comprises a first data table and a second data table, each data table including a plurality of rows of data, means for building a clustering model using the first data table, and means for applying the clustering model using the second data table to generate apply output data.

    摘要翻译： 用于数据库内集群的系统，方法和计算机程序产品提供了执行集群分析的能力，并在模型构建和数据挖掘中提供了改进的性能，与整个企业中的各种数据库的良好集成，以及模型的灵活规范和调整 正在构建，但它提供数据挖掘功能，用户具有有限的数据挖掘专业知识，并减少数据挖掘项目的开发时间和成本。 一种用于数据库内聚类的数据库管理系统，包括第一数据表和第二数据表，每个数据表包括多行数据，用于使用第一数据表构建聚类模型的装置，以及用于应用聚类 模型使用第二个数据表生成应用输出数据。

    Rule generation model building
    10.
    发明授权
    Rule generation model building 有权
    规则生成模型构建

    公开(公告)号：US07174336B2

    公开(公告)日：2007-02-06

    申请号：US10424762

    申请日：2003-04-29

    申请人： Marcos M. Campos ,  Boriana L. Milenova

    发明人： Marcos M. Campos ,  Boriana L. Milenova

    IPC分类号： G06F7/00 ,  G06Q40/00

    CPC分类号： G06F17/30598 ,  G06F17/30601 ,  G06F2216/03 ,  G06K9/6218 ,  G06Q40/00

    摘要： A database management system provides the capability to perform cluster analysis and provides improved performance in model building and data mining, good integration with the various databases throughout the enterprise, and flexible specification and adjustment of the models being built, but which provides data mining functionality that is accessible to users having limited data mining expertise and which provides reductions in development times and costs for data mining projects. The database management system for in-database clustering comprises a first data table and a second data table, each data table including a plurality of rows of data, means for building a clustering model using the first data table, means for building a rule-based model using the clustering model, and means for applying the rule-based model using the second data table to generate apply output data.

    摘要翻译： 数据库管理系统提供执行集群分析的能力，并在模型构建和数据挖掘中提供改进的性能，与整个企业中的各种数据库的良好集成，以及正在构建的模型的灵活规范和调整，但提供数据挖掘功能 对于具有有限的数据挖掘专业知识的用户可以访问，并减少数据挖掘项目的开发时间和成本。 用于数据库内聚类的数据库管理系统包括第一数据表和第二数据表，每个数据表包括多行数据，用于使用第一数据表构建聚类模型的装置，用于构建基于规则的 使用聚类模型的模型，以及使用第二数据表应用基于规则的模型以生成应用输出数据的装置。