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    Method and System for Identifying Database Triggers
    2.
    发明申请
    Method and System for Identifying Database Triggers 审中-公开
    识别数据库触发器的方法和系统

    公开(公告)号：US20090037460A1

    公开(公告)日：2009-02-05

    申请号：US12251292

    申请日：2008-10-14

    申请人： John A. Medicke ,  Feng-wei Chen Russell ,  Michael William Smith ,  Ray Zhong Tan

    发明人： John A. Medicke ,  Feng-wei Chen Russell ,  Michael William Smith ,  Ray Zhong Tan

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30312 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99953

    摘要： A system to identify database triggers in a data processing system. A request is received to create a database monitor for a specific application event and in response to receiving the request to create the database monitor, the database monitor is created. Then, a request is received to monitor the specific application event within a database and in response to receiving the request to monitor the specific application event, a replicate database of the database is created. Subsequently, the database is compared to the replicate database after the specific application event occurs to identify changes in the database associated with the specific application event. A best candidate is identified for a database trigger based upon the identified changes in the database associated with the specific application event.

    摘要翻译： 在数据处理系统中识别数据库触发器的系统。 收到请求以创建特定应用程序事件的数据库监视器，并响应于接收到创建数据库监视器的请求，创建数据库监视器。 然后，接收到一个请求以监视数据库内的特定应用程序事件，并响应于接收到监视特定应用程序事件的请求，创建数据库的复制数据库。 随后，在特定应用程序事件发生后，将数据库与复制数据库进行比较，以识别与特定应用程序事件相关联的数据库中的更改。 基于与特定应用程序事件相关联的数据库中所标识的更改，为数据库触发器确定最佳候选项。

    Identifying database triggers
    3.
    发明授权
    Identifying database triggers 有权
    识别数据库触发器

    公开(公告)号：US09053137B2

    公开(公告)日：2015-06-09

    申请号：US12251292

    申请日：2008-10-14

    申请人： John A. Medicke ,  Feng-wei Chen Russell ,  Michael William Smith ,  Ray Zhong Tan

    发明人： John A. Medicke ,  Feng-wei Chen Russell ,  Michael William Smith ,  Ray Zhong Tan

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30312 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99953

    摘要： A system to identify database triggers in a data processing system. A request is received to create a database monitor for a specific application event and in response to receiving the request to create the database monitor, the database monitor is created. Then, a request is received to monitor the specific application event within a database and in response to receiving the request to monitor the specific application event, a replicate database of the database is created. Subsequently, the database is compared to the replicate database after the specific application event occurs to identify changes in the database associated with the specific application event. A best candidate is identified for a database trigger based upon the identified changes in the database associated with the specific application event.

    摘要翻译： 在数据处理系统中识别数据库触发器的系统。 收到请求以创建特定应用程序事件的数据库监视器，并响应于接收到创建数据库监视器的请求，创建数据库监视器。 然后，接收到一个请求以监视数据库内的特定应用程序事件，并响应于接收到监视特定应用程序事件的请求，创建数据库的复制数据库。 随后，在特定应用程序事件发生后，将数据库与复制数据库进行比较，以识别与特定应用程序事件相关联的数据库中的更改。 基于与特定应用程序事件相关联的数据库中所标识的更改，为数据库触发器确定最佳候选项。

    PRE-HIGHLIGHTING TEXT IN A SEMANTIC HIGHLIGHTING SYSTEM
    4.
    发明申请
    PRE-HIGHLIGHTING TEXT IN A SEMANTIC HIGHLIGHTING SYSTEM 失效
    语言亮点系统中的前瞻性文字

    公开(公告)号：US20110161070A1

    公开(公告)日：2011-06-30

    申请号：US12650671

    申请日：2009-12-31

    申请人： FENG-WEI CHEN ,  JULIUS GOTH, III ,  JOHN A. MEDICKE ,  WILLIAM D. REED

    发明人： FENG-WEI CHEN ,  JULIUS GOTH, III ,  JOHN A. MEDICKE ,  WILLIAM D. REED

    IPC分类号： G06F17/27

    CPC分类号： G06F17/2785

    摘要： A method, computer system and/or computer program product pre-highlight text that is located in a search. A text highlight and a triple statement semantic annotation based on the text highlight of a first document are received. The triple statement semantic annotation comprises a subject, a relationship and an object. A natural language processing (NLP) pattern based on the triple statement semantic annotation is generated. The NLP pattern is representative of a linguistic pattern between the text highlight and the triple statement semantic annotation. A multi-dimensional linguistic profile is generated based on the text highlight, the triple statement semantic annotation and the NLP pattern, wherein the multi-dimensional linguistic profile defines entities, relationships and attributes associated with document text. Text in a second document is compared with the multi-dimensional linguistic profile, and text in the second document is highlighted based on the comparison.

    摘要翻译： 方法，计算机系统和/或计算机程序产品预先突出显示位于搜索中的文本。 接收基于第一文档的文本突出显示的文本突出显示和三重语义语义注释。 三重语句语义注释包括主题，关系和对象。 生成基于三重语义语义注释的自然语言处理（NLP）模式。 NLP模式代表文本突出显示和三重语句语义注释之间的语言模式。 基于文本高亮，三重语义语义注释和NLP模式生成多维语言概况，其中多维语言轮廓定义与文档文本相关联的实体，关系和属性。 将第二文档中的文本与多维语言概况进行比较，并且基于比较来突出显示第二文档中的文本。

    Self-generation of a data warehouse from an enterprise data model of an EAI/BPI infrastructure
    5.
    发明授权
    Self-generation of a data warehouse from an enterprise data model of an EAI/BPI infrastructure 失效
    从EAI / BPI基础设施的企业数据模型自动生成数据仓库

    公开(公告)号：US07487173B2

    公开(公告)日：2009-02-03

    申请号：US10443703

    申请日：2003-05-22

    申请人： John A. Medicke ,  Feng-Wei Chen Russell

    发明人： John A. Medicke ,  Feng-Wei Chen Russell

    IPC分类号： G06F17/30

    CPC分类号： G06Q10/00 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944

    摘要： A data warehouse is generated by incorporating data warehouse information in business objects to provide subscribed business objects and generating star-schema tables of the data warehouse from the subscribed business objects. Data from subscribed business objects may be logged when an event of the subscribed business objects is processed, for example, by an integration node, and the logged data incorporated into the star-schema tables of the data warehouse.

    摘要翻译： 通过将数据仓库信息合并到业务对象中以提供订阅的业务对象并从订阅的业务对象生成数据仓库的星型模式表来生成数据仓库。 当订阅的业务对象的事件（例如由集成节点）处理时，并且记录的数据被合并到数据仓库的星型模式表中时，可以记录来自预订业务对象的数据。

    Computerized method, system and program product for generating a data mining model
    8.
    发明授权
    Computerized method, system and program product for generating a data mining model 失效
    用于生成数据挖掘模型的计算机化方法，系统和程序产品

    公开(公告)号：US07734645B2

    公开(公告)日：2010-06-08

    申请号：US11923862

    申请日：2007-10-25

    申请人： Feng-wei Chen Russell ,  Ameet M. Kini ,  John A. Medicke, Jr. ,  Betsy M. Plunket ,  Ashish Sureka

    发明人： Feng-wei Chen Russell ,  Ameet M. Kini ,  John A. Medicke, Jr. ,  Betsy M. Plunket ,  Ashish Sureka

    IPC分类号： G06F7/00 ,  G06F17/00

    CPC分类号： G06F17/30598 ,  Y10S707/99943

    摘要： A computerized method, system and program product for generating a data mining model. A user can provide objectives for the model and sample data to train, validate, and test the model. A rules system can automatically select a set of algorithms based on the objectives and/or sample data. A plurality of datasets can also be created from the sample data. Using the datasets, the set of algorithms can be optimized for the particular data on which it is intended to be used. The data mining model can then be generated from the optimized set of algorithms.

    摘要翻译： 一种用于生成数据挖掘模型的计算机化方法，系统和程序产品。 用户可以为模型和样本数据提供目标，以训练，验证和测试模型。 规则系统可以根据目标和/或样本数据自动选择一组算法。 也可以从样本数据创建多个数据集。 使用数据集，可以为要使用的特定数据优化算法集合。 然后可以从优化的算法集合生成数据挖掘模型。

    COMPUTERIZED DATA MINING SYSTEM AND PROGRAM PRODUCT
    9.
    发明申请
    COMPUTERIZED DATA MINING SYSTEM AND PROGRAM PRODUCT 审中-公开
    计算机数据采矿系统和程序产品

    公开(公告)号：US20090144276A1

    公开(公告)日：2009-06-04

    申请号：US12348580

    申请日：2009-01-05

    申请人： Feng-wei Chen Russell ,  Ameet M. Kini ,  Marcelo Cunha Loureiro ,  John A. Medicke, JR. ,  Betsy M. Plunket ,  Ashish Sureka

    发明人： Feng-wei Chen Russell ,  Ameet M. Kini ,  Marcelo Cunha Loureiro ,  John A. Medicke, JR. ,  Betsy M. Plunket ,  Ashish Sureka

    IPC分类号： G06F17/30

    CPC分类号： G06F16/2465 ,  G06F2216/03 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99943

    摘要： Under the present invention, a data exploration system, a customized model system and an existing model system are provided. The data exploration system analyzes user data to identify statistical information such as data distribution, data relationships, data outliners and invalid or missing data values. The customized model center iteratively generates customized data mining models in parallel based on permutations of the user data, user-provided business parameters and/or a set of model generation algorithms. The existing model system provides users with a library of existing data mining models, assembled based on the business parameters, from which they can choose one or more. In any event, any customized or existing data mining models selected can be run against the user data in parallel.

    摘要翻译： 在本发明的基础上，提供了数据挖掘系统，定制模型系统和现有的模型系统。 数据挖掘系统分析用户数据以识别统计信息，如数据分布，数据关系，数据外链以及无效或丢失的数据值。 定制模型中心根据用户数据的排列，用户提供的业务参数和/或一组模型生成算法，迭代地并行生成定制的数据挖掘模型。 现有的模型系统为用户提供了现有数据挖掘模型库，根据业务参数进行组合，从中可以选择一个或多个。 无论如何，可以并行地针对用户数据运行任何定制或现有的数据挖掘模型。