公开(公告)号：US20090204569A1

公开(公告)日：2009-08-13

申请号：US12028877

申请日：2008-02-11

申请人： Timothy R. Bowden ,  Upendra Chitnis ,  Ildar K. Khabibrakhmanov ,  Richard D. Lawrence ,  Yan Liu ,  Prem Melville

发明人： Timothy R. Bowden ,  Upendra Chitnis ,  Ildar K. Khabibrakhmanov ,  Richard D. Lawrence ,  Yan Liu ,  Prem Melville

IPC分类号： G06F17/30 ,  G06F17/00

CPC分类号： G06F17/30864

摘要： A method for identifying companies with specific business objectives that includes using existing sources of company firmographic data to identify a broad set of companies and associated websites, crawling the websites associated with the identified companies and indexing web site content for each of the identified companies with the specific business objective to realize indexed web content. The method further includes joining the company firmographic data with the indexed web content using a business objective common identifier to generate a store of joined structured firmographic data and indexed web content and presenting a display image representation of the store of joined structured firmographic data and indexed web content for user review. The display image further receives user input to score each of said companies identified therein, and using a search interface, querying the store of scored, joined structured firmographic data and indexed web content. The method further includes augmenting the search interface, or search results from a query, with predictive, machine-leaning processes that allow rapid identification of companies possibly missed in the query.

摘要翻译： 一种用于识别具有特定业务目标的公司的方法，其中包括使用公司隐性数据的现有来源来识别广泛的公司和相关网站，爬行与所识别的公司相关联的网站，并为每个被识别的公司索引网站内容 具体的业务目标来实现索引的Web内容。 该方法还包括使用业务目标公共标识符将公司隐含数据与索引的网页内容相加，以生成连接的结构化地图数据和索引的网页内容的存储，以及呈现连接的结构化地图数据和索引网的存储的显示图像表示 用户评论内容。 显示图像还接收用户输入，以对其中识别的每个所述公司进行评分，并使用搜索界面，查询记分，结合的结构化数据和索引的web内容的存储。 该方法还包括利用预测性机器倾斜过程增强搜索接口或来自查询的搜索结果，其允许快速识别可能在查询中遗漏的公司。

公开(公告)号：US20070162418A1

公开(公告)日：2007-07-12

申请号：US11331323

申请日：2006-01-12

申请人： Michael Alcorn ,  Upendra Chitnis

发明人： Michael Alcorn ,  Upendra Chitnis

IPC分类号： G06F17/30

CPC分类号： G06F17/30312

摘要： A method and system for evaluating at least one setting for a database system are disclosed. The method and system includes providing at least one configuration derivative including the at least one setting. The configuration derivative is uncommitted. The method and system also include running the database system for a period of time. The database system is run using a committed configuration including a plurality of settings for the database system. The method and system also include collecting data on performance of the database system based on the at least one configuration derivative during the running of the database.

摘要翻译： 公开了一种用于评估数据库系统的至少一个设置的方法和系统。 该方法和系统包括提供包括至少一个设置的至少一个配置导数。 配置导数未提交。 该方法和系统还包括运行数据库系统一段时间。 使用包括数据库系统的多个设置的承诺配置来运行数据库系统。 所述方法和系统还包括在数据库运行期间基于至少一个配置导数来收集关于数据库系统的性能的数据。

公开(公告)号：US08583639B2

公开(公告)日：2013-11-12

申请号：US12033160

申请日：2008-02-19

申请人： Upendra Chitnis ,  Wojciech Gryc ,  Ildar Khabibrakhmanov ,  Richard D. Lawrence ,  Prem Melville ,  Cezar Pendus

发明人： Upendra Chitnis ,  Wojciech Gryc ,  Ildar Khabibrakhmanov ,  Richard D. Lawrence ,  Prem Melville ,  Cezar Pendus

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30864

摘要： A method for automatically determining an Internet home page corresponding to a named entity identified by a specified descriptor including building a trained machine-learning model, generating candidate matches from the specified descriptor, wherein each candidate match includes an Internet address, extracting content-based features from websites associated with the Internet addresses of the candidate matches, determining a model score for each candidate match based on the content-based features using the trained machine-learning model, and determining a match from among the candidate matches according to the scores, wherein the match is returned as the Internet home page corresponding to the named entity.

摘要翻译： 一种用于自动确定与由指定描述符标识的命名实体相对应的因特网主页的方法，包括建立训练有素的机器学习模型，从指定的描述符生成候选匹配，其中每个候选匹配包括因特网地址，提取基于内容的特征 从与候选匹配的互联网地址相关联的网站，基于使用训练机器学习模型的基于内容的特征来确定每个候选匹配的模型分数，以及根据分数从候选匹配中确定匹配，其中 该匹配将作为与该命名实体相对应的因特网主页返回。

公开(公告)号：US20090210419A1

公开(公告)日：2009-08-20

申请号：US12033160

申请日：2008-02-19

申请人： UPENDRA CHITNIS ,  Wojciech Gryc ,  Ildar Khabibrakhmanov ,  Richard D. Lawrence ,  Prem Melville ,  Cezar Pendus

发明人： UPENDRA CHITNIS ,  Wojciech Gryc ,  Ildar Khabibrakhmanov ,  Richard D. Lawrence ,  Prem Melville ,  Cezar Pendus

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： A method for automatically determining an Internet home page corresponding to a named entity identified by a specified descriptor including building a trained machine-learning model, generating candidate matches from the specified descriptor, wherein each candidate match includes an Internet address, extracting content-based features from websites associated with the Internet addresses of the candidate matches, determining a model score for each candidate match based on the content-based features using the trained machine-learning model, and determining a match from among the candidate matches according to the scores, wherein the match is returned as the Internet home page corresponding to the named entity.

摘要翻译： 一种用于自动确定与由指定描述符标识的命名实体相对应的因特网主页的方法，包括建立训练有素的机器学习模型，从指定的描述符生成候选匹配，其中每个候选匹配包括因特网地址，提取基于内容的特征 从与候选匹配的互联网地址相关联的网站，基于使用训练机器学习模型的基于内容的特征来确定每个候选匹配的模型分数，以及根据分数从候选匹配中确定匹配，其中 该匹配将作为与该命名实体相对应的因特网主页返回。

公开(公告)号：US20090112927A1

公开(公告)日：2009-04-30

申请号：US11924840

申请日：2007-10-26

申请人： Upendra Chitnis ,  Christoph Lingenfelder ,  Edwin Peter Dawson Pednault

发明人： Upendra Chitnis ,  Christoph Lingenfelder ,  Edwin Peter Dawson Pednault

IPC分类号： G06F17/30

CPC分类号： G06Q10/087 ,  G06Q30/02

摘要： A process of transforming data residing in databases, such as relational databases, into forms suitable as input to data analysis tools, such as predictive modeling tools includes the steps of defining a business process problem to be solved and identifying data requirements. For example, the business process problem may relate to predicting a customer's propensity to make purchases in the future or a store's requirements for inventory in the future. In the process, a computer implemented method is used for automatically transforming data for data analysis such as predictive modeling. Database metadata that describe database tables, their interrelationships, dimensional information, fact tables and measures are accessed. A mining transformation profile is created to encapsulate aggregations and transformation on data stored in relational databases in order to convert the data to forms suitable for predictive mining tools. The mining transformation profile specifies data transformations relative to the data base metadata. Executable data transformation codes is then generated from the database metadata and the mining transformation profile. Execution of this code results in aggregation and transformation of data residing in a database for input to a data analysis tool such as a predictive modeling tool. The data transformation code can be used by, for example, the predictive modeling tool to generate an output that provides a solution to a business process problem.

摘要翻译： 将数据库（例如关系数据库）中驻留的数据转换为适合作为数据分析工具（例如预测建模工具）的输入的形式的过程包括以下步骤：定义要解决的业务流程问题并识别数据需求。 例如，业务流程问题可能与预测客户未来进行购买的倾向或商店对库存的需求有关。 在此过程中，使用计算机实现的方法来自动转换数据进行数据分析，如预测建模。 访问描述数据库表，它们的相互关系，维度信息，事实表和度量的数据库元数据。 创建挖掘转换配置文件以将聚合和变换封装在关系数据库中存储的数据上，以将数据转换为适合预测挖掘工具的表单。 挖掘转换配置文件指定相对于数据库元数据的数据转换。 然后从数据库元数据和挖掘转换配置文件生成可执行的数据转换代码。 执行此代码导致驻留在数据库中的数据的聚合和变换，以输入到诸如预测建模工具的数据分析工具。 数据转换代码可以由例如预测建模工具用于生成提供业务流程问题解决方案的输出。

公开(公告)号：US08655918B2

公开(公告)日：2014-02-18

申请号：US11924840

申请日：2007-10-26

申请人： Upendra Chitnis ,  Christoph Lingenfelder ,  Edwin Peter Dawson Pednault

发明人： Upendra Chitnis ,  Christoph Lingenfelder ,  Edwin Peter Dawson Pednault

IPC分类号： G06F7/00

CPC分类号： G06Q10/087 ,  G06Q30/02

摘要： A process of transforming data residing in databases, such as relational databases, into forms suitable as input to data analysis tools, such as predictive modeling tools includes the steps of defining a business process problem to be solved and identifying data requirements. For example, the business process problem may relate to predicting a customer's propensity to make purchases in the future or a store's requirements for inventory in the future. In the process, a computer implemented method is used for automatically transforming data for data analysis such as predictive modeling. Database metadata that describe database tables, their interrelationships, dimensional information, fact tables and measures are accessed. A mining transformation profile is created to encapsulate aggregations and transformation on data stored in relational databases in order to convert the data to forms suitable for predictive mining tools. The mining transformation profile specifies data transformations relative to the data base metadata. Executable data transformation codes is then generated from the database metadata and the mining transformation profile. Execution of this code results in aggregation and transformation of data residing in a database for input to a data analysis tool such as a predictive modeling tool. The data transformation code can be used by, for example, the predictive modeling tool to generate an output that provides a solution to a business process problem.

摘要翻译： 将数据库（例如关系数据库）中驻留的数据转换为适合作为数据分析工具（例如预测建模工具）的输入的形式的过程包括以下步骤：定义要解决的业务流程问题并识别数据需求。 例如，业务流程问题可能与预测客户未来进行购买的倾向或商店对库存的需求有关。 在此过程中，使用计算机实现的方法来自动转换数据进行数据分析，如预测建模。 访问描述数据库表，它们的相互关系，维度信息，事实表和度量的数据库元数据。 创建挖掘转换配置文件以将聚合和变换封装在关系数据库中存储的数据上，以将数据转换为适合预测挖掘工具的表单。 挖掘转换配置文件指定相对于数据库元数据的数据转换。 然后从数据库元数据和挖掘转换配置文件生成可执行的数据转换代码。 执行此代码导致驻留在数据库中的数据的聚合和变换，以输入到诸如预测建模工具的数据分析工具。 数据转换代码可以由例如预测建模工具用于生成提供业务流程问题解决方案的输出。

公开(公告)号：US08145619B2

公开(公告)日：2012-03-27

申请号：US12028877

申请日：2008-02-11

申请人： Timothy R. Bowden ,  Upendra Chitnis ,  Ildar K. Khabibrakhmanov ,  Richard D. Lawrence ,  Yan Liu ,  Prem Melville

发明人： Timothy R. Bowden ,  Upendra Chitnis ,  Ildar K. Khabibrakhmanov ,  Richard D. Lawrence ,  Yan Liu ,  Prem Melville

IPC分类号： G06F7/00 ,  G06F17/30 ,  G06F13/14

CPC分类号： G06F17/30864

摘要： A method for identifying companies with specific business objectives that includes using existing sources of company firmographic data to identify a broad set of companies and associated websites, crawling the websites associated with the identified companies and indexing web site content for each of the identified companies with the specific business objective to realize indexed web content. The method further includes joining the company firmographic data with the indexed web content using a business objective common identifier to generate a store of joined structured firmographic data and indexed web content and presenting a display image representation of the store of joined structured firmographic data and indexed web content for user review. The display image further receives user input to score each of said companies identified therein, and using a search interface, querying the store of scored, joined structured firmographic data and indexed web content. The method further includes augmenting the search interface, or search results from a query, with predictive, machine-leaning processes that allow rapid identification of companies possibly missed in the query.

摘要翻译： 一种用于识别具有特定业务目标的公司的方法，其中包括使用公司隐性数据的现有来源来识别广泛的公司和相关网站，爬行与所识别的公司相关联的网站，并为每个被识别的公司索引网站内容 具体的业务目标来实现索引的Web内容。 该方法还包括使用业务目标公共标识符将公司隐含数据与索引的网页内容相加，以生成连接的结构化地图数据和索引的网页内容的存储，以及呈现连接的结构化地图数据和索引网的存储的显示图像表示 用户评论内容。 显示图像还接收用户输入，以对其中识别的每个所述公司进行评分，并使用搜索界面，查询记分，结合的结构化数据和索引的web内容的存储。 该方法还包括利用预测性机器倾斜过程增强搜索接口或来自查询的搜索结果，其允许快速识别可能在查询中遗漏的公司。