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1. 发明授权

US09152972B2 Data importer for a sales prospector 有权
标题翻译：销售探索者的数据导入器
公开(公告)号：US09152972B2
公开(公告)日：2015-10-06
申请号：US12486933
申请日：2009-06-18
申请人： Francisco V. Casas , Jooyoung John Kim , Krisztian Z. Danko , Peter J. Stengard , Ari Mozes , Marcos Campos
发明人： Francisco V. Casas , Jooyoung John Kim , Krisztian Z. Danko , Peter J. Stengard , Ari Mozes , Marcos Campos
IPC分类号： G06F7/00 , G06F17/30 , G06Q30/02 , G06Q10/06 , G06F17/00
CPC分类号： G06F17/303 , G06F17/30339 , G06F17/30955 , G06Q10/067 , G06Q30/02 , G06Q30/0201 , G06Q30/0202 , G06Q30/0204
摘要： A data importer for a sales prospecting system imports one or more data tables that each may include one or more records. The data importer first (a) imports a data table into an intermediate table. The data importer then (b) determines if the imported data table depends on another data table and moves one or more records from the imported data table that have no missing dependencies to a corresponding working table; and (c) determines a set of previously imported data tables that refer to the imported data table. The data importer then, for each previously imported data table, repeats (b) and (c) above.
摘要翻译：销售勘探系统的数据导入器导入一个或多个数据表，每个数据表可以包括一个或多个记录。数据导入器首先（a）将数据表导入中间表。数据导入器然后（b）确定导入的数据表是否依赖于另一个数据表，并将导入的数据表中的一个或多个记录从不相关的工作表中移除; 和（c）确定引用数据表的先前导入的数据表的集合。然后，对于每个先前导入的数据表，数据导入器重复上述（b）和（c）。

2. 发明申请

US20100114663A1 HYBRID PREDICTION MODEL FOR A SALES PROSPECTOR 有权
标题翻译：销售前景的混合预测模型
公开(公告)号：US20100114663A1
公开(公告)日：2010-05-06
申请号：US12476566
申请日：2009-06-02
申请人： Francisco V. Casas , Jooyoung John Kim , Krisztian Z. Danko , Peter J. Stengard , Ari Mozes , Marcos Campos
发明人： Francisco V. Casas , Jooyoung John Kim , Krisztian Z. Danko , Peter J. Stengard , Ari Mozes , Marcos Campos
IPC分类号： G06Q10/00 , G06N5/02 , G06F15/18
CPC分类号： G06F17/303 , G06F17/30339 , G06F17/30955 , G06Q10/067 , G06Q30/02 , G06Q30/0201 , G06Q30/0202 , G06Q30/0204
摘要： Systems and methods provide a system for generating a sales prospect recommendation that uses demographic data to make a sales prospect recommendation that includes a product recommendation with a probability that the sale will close, and may include an estimated time to close the sale and projected revenue. The system imports customer data including past purchasing data and demographic data for a plurality of customers. The system can then generate a predictive model by training the model using the past purchasing data and the demographic data. When queried for a sales prospect recommendation, the system responds to the query with at least one sales prospect recommended by the predictive model.
摘要翻译：系统和方法提供了一种生成销售前景建议的系统，该系统使用人口统计数据做出销售前景建议，其中包括销售将关闭的概率的产品推荐，并且可能包括估计时间来关闭销售和预计收入。系统导入客户数据，包括多个客户的过往采购数据和人口统计数据。然后，系统可以通过使用过去的采购数据和人口统计数据来训练模型来生成预测模型。当查询销售前景建议时，系统将使用预测模型推荐的至少一个销售前景来响应查询。

3. 发明授权

US07117208B2 Enterprise web mining system and method 有权
公开(公告)号：US07117208B2
公开(公告)日：2006-10-03
申请号：US11013339
申请日：2004-12-17
申请人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
发明人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/30864 , G06F2216/03 , Y10S707/954 , Y10S707/99936 , Y10S707/99937
摘要： An enterprise-wide web data mining system, computer program product, and method of operation thereof, that uses Internet based data sources, and which operates in an automated and cost effective manner. The enterprise web mining system comprises: a database coupled to a plurality of data sources, the database operable to store data collected from the data sources; a data mining engine coupled to the web server and the database, the data mining engine operable to generate a plurality of data mining models using the collected data; a server coupled to a network, the server operable to: receive a request for a prediction or recommendation over the network, generate a prediction or recommendation using the data mining models, and transmit the generated prediction or recommendation.

4. 发明申请

US20050102292A1 Enterprise web mining system and method 有权
标题翻译：企业网络挖掘系统和方法
公开(公告)号：US20050102292A1
公开(公告)日：2005-05-12
申请号：US11013339
申请日：2004-12-17
申请人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
发明人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/30864 , G06F2216/03 , Y10S707/954 , Y10S707/99936 , Y10S707/99937
摘要： An enterprise-wide web data mining system, computer program product, and method of operation thereof, that uses Internet based data sources, and which operates in an automated and cost effective manner. The enterprise web mining system comprises: a database coupled to a plurality of data sources, the database operable to store data collected from the data sources; a data mining engine coupled to the web server and the database, the data mining engine operable to generate a plurality of data mining models using the collected data; a server coupled to a network, the server operable to: receive a request for a prediction or recommendation over the network, generate a prediction or recommendation using the data mining models, and transmit the generated prediction or recommendation.
摘要翻译：企业范围的网络数据挖掘系统，计算机程序产品及其操作方法，其使用基于因特网的数据源，并以自动化和成本有效的方式运行。所述企业网络挖掘系统包括：耦合到多个数据源的数据库，所述数据库可操作以存储从所述数据源收集的数据; 数据挖掘引擎，其耦合到所述web服务器和所述数据库，所述数据挖掘引擎可操作以使用所收集的数据生成多个数据挖掘模型; 耦合到网络的服务器，所述服务器可操作用于：通过所述网络接收对预测或推荐的请求，使用所述数据挖掘模型生成预测或推荐，并传送所生成的预测或推荐。

5. 发明申请

US20050050087A1 Support vector machines in a relational database management system 有权
标题翻译：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。

6. 发明授权

US06836773B2 Enterprise web mining system and method 有权
标题翻译：企业网络挖掘系统和方法
公开(公告)号：US06836773B2
公开(公告)日：2004-12-28
申请号：US09963401
申请日：2001-09-27
申请人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
发明人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
IPC分类号： G06F1730
CPC分类号： G06F17/3089 , G06F17/30864 , G06F2216/03 , Y10S707/99936
摘要： An enterprise-wide web data mining system, computer program product, and method of operation thereof, that uses Internet based data sources, and which operates in an automated and cost effective manner. The enterprise web mining system comprises: a database coupled to a plurality of data sources, the database operable to store data collected from the data sources; a data mining engine coupled to the web server and the database, the data mining engine operable to generate a plurality of data mining models using the collected data; a server coupled to a network, the server operable to: receive a request for a prediction or recommendation over the network, generate a prediction or recommendation using the data mining models, and transmit the generated prediction or recommendation.
摘要翻译：企业范围的网络数据挖掘系统，计算机程序产品及其操作方法，其使用基于因特网的数据源，并以自动化和成本有效的方式运行。所述企业网络挖掘系统包括：耦合到多个数据源的数据库，所述数据库可操作以存储从所述数据源收集的数据; 数据挖掘引擎，其耦合到所述web服务器和所述数据库，所述数据挖掘引擎可操作以使用所收集的数据生成多个数据挖掘模型; 耦合到网络的服务器，所述服务器可操作用于：通过所述网络接收对预测或推荐的请求，使用所述数据挖掘模型生成预测或推荐，并传送所生成的预测或推荐。

7. 发明申请

US20060218132A1 Predictive data mining SQL functions (operators) 审中-公开
标题翻译：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。

8. 发明申请

US20060136462A1 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.

9. 发明授权

US07031978B1 Progress notification supporting data mining 有权
标题翻译：进度通知支持数据挖掘
公开(公告)号：US07031978B1
公开(公告)日：2006-04-18
申请号：US10146821
申请日：2002-05-17
申请人： Mark F. Hornick , Pavani Kuntala , Gary Drescher , Chitra Bhagwat , Marcos Campos , Joe Yarmus
发明人： Mark F. Hornick , Pavani Kuntala , Gary Drescher , Chitra Bhagwat , Marcos Campos , Joe Yarmus
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/30368 , Y10S707/99944
摘要： The present invention relates to progress notification systems, computer program products and methods of operation thereof, that reports processing progress of data mining operations at regular periodic intervals. The system comprises: an input/output interface for exchanging information with a network; a memory for storing updated progress objects associated with the data mining operation as a set of data mining algorithms progress in processing; and a processor coupled to the input/output interface and the memory, the processor for performing the data mining operation, the data mining operation implementing the set of data mining algorithms; and generating a notification object for the data mining operation at a pre-determined interval, the notification object based on the progress objects at each of the pre-determined intervals.
摘要翻译：本发明涉及进度通知系统，计算机程序产品及其操作方法，其以定期周期的间隔报告数据挖掘操作的进程。该系统包括：用于与网络交换信息的输入/输出接口; 用于存储与数据挖掘操作相关联的更新的进度对象作为一组数据挖掘算法在进程中进行的存储器; 以及耦合到输入/输出接口和存储器的处理器，用于执行数据挖掘操作的处理器，实现数据挖掘算法集合的数据挖掘操作; 以及以预定间隔生成用于所述数据挖掘操作的通知对象，所述通知对象基于每个预定间隔处的进度对象。

10. 发明授权

US08775230B2 Hybrid prediction model for a sales prospector 有权
标题翻译：销售探索者的混合预测模型
公开(公告)号：US08775230B2
公开(公告)日：2014-07-08
申请号：US12476566
申请日：2009-06-02
申请人： Francisco V. Casas , Jooyoung John Kim , Krisztian Z. Danko , Peter J. Stengard , Ari Mozes , Marcos Campos
发明人： Francisco V. Casas , Jooyoung John Kim , Krisztian Z. Danko , Peter J. Stengard , Ari Mozes , Marcos Campos
IPC分类号： G06Q10/00 , G06Q30/00 , G06Q10/06 , G06Q30/02
CPC分类号： G06F17/303 , G06F17/30339 , G06F17/30955 , G06Q10/067 , G06Q30/02 , G06Q30/0201 , G06Q30/0202 , G06Q30/0204
摘要： Systems and methods provide a system for generating a sales prospect recommendation that uses demographic data to make a sales prospect recommendation that includes a product recommendation with a probability that the sale will close, and may include an estimated time to close the sale and projected revenue. The system imports customer data including past purchasing data and demographic data for a plurality of customers. The system can then generate a predictive model by training the model using the past purchasing data and the demographic data. When queried for a sales prospect recommendation, the system responds to the query with at least one sales prospect recommended by the predictive model.
摘要翻译：系统和方法提供了一种生成销售前景建议的系统，该系统使用人口统计数据做出销售前景建议，其中包括销售将关闭的概率的产品推荐，并且可能包括估计时间来关闭销售和预计收入。系统导入客户数据，包括多个客户的过往采购数据和人口统计数据。然后，系统可以通过使用过去的采购数据和人口统计数据来训练模型来生成预测模型。当查询销售前景建议时，系统将使用预测模型推荐的至少一个销售前景来响应查询。

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