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    • 4. 发明授权
    • System and method for syntax abstraction in query language generation
    • 查询语言生成中语法抽象的系统和方法
    • US08005870B1
    • 2011-08-23
    • US09883302
    • 2001-06-19
    • Jeffrey A. BedellYinong ChenBenjamin Z. LiFabrice MartinSadanand SahasrabudheJun Yuan
    • Jeffrey A. BedellYinong ChenBenjamin Z. LiFabrice MartinSadanand SahasrabudheJun Yuan
    • G06F17/30G06F17/00
    • G06F17/30398
    • A system and method for syntax abstraction in query language generation in an online analytical processing system, a business intelligence system, a reporting system, or a data mining system. The system generates one or more query language statements that can be run against one or more data sources to return a desired data result set. The system includes a syntax pattern selector module and a statement assembly module. The syntax pattern selector module selects a syntax pattern corresponding to a desired function and a syntax standard. The statement assembly module populates the syntax pattern with an argument data set associated with the desired data set. The result is the generation of one or more query language statements with the correct function, syntax, and data parameters to return the desired data result set from the data sources. A method and medium having processor readable code therein are also described.
    • 在线分析处理系统,商业智能系统,报告系统或数据挖掘系统中的查询语言生成中的语法抽象的系统和方法。 该系统生成一个或多个可针对一个或多个数据源运行的查询语言语句,以返回所需的数据结果集。 该系统包括语法模式选择器模块和语句组合模块。 语法模式选择器模块选择与所需功能和语法标准相对应的语法模式。 语句组合模块使用与所需数据集相关联的参数数据集填充语法模式。 结果是生成具有正确功能,语法和数据参数的一个或多个查询语言语句,以从数据源返回所需的数据结果集。 还描述了其中具有处理器可读代码的方法和介质。
    • 9. 发明授权
    • System and method for function selection in analytic processing
    • 分析处理中功能选择的系统和方法
    • US08606813B1
    • 2013-12-10
    • US10043263
    • 2002-01-14
    • Jeffrey A. BedellBenjamin Z. LiFabrice MartinSadanand SahasrabudheJun YuanXinyi Wang
    • Jeffrey A. BedellBenjamin Z. LiFabrice MartinSadanand SahasrabudheJun YuanXinyi Wang
    • G06F17/30
    • G06F17/30545
    • A selection engine for a cooperative processing network, in which databases compute portions of searches and analyses which they may most efficiently compute. A data mining network may contain large scale databases, analytic engines which communicate with the databases, and other resources, each capable of performing or executing certain functions, such as statistical functions. When a user desires to run a specified report against the databases, those functions that can be computed locally in the database are trapped and computed therein, whereas other functions, such as advanced statistical functions, may be distributed to remote analytic engines or other resources in the network. A management module may coordinate the transmission and assembly of the data, including to order dependencies. The management module may contain a selection engine to allocate computations to databases or other resources as a default, to test for load balancing before choosing a compute site, or apply other criteria.
    • 用于协作处理网络的选择引擎,其中数据库计算搜索和分析的部分,哪些可以最有效地计算。 数据挖掘网络可能包含大型数据库,与数据库通信的分析引擎,以及其他能够执行或执行某些功能(如统计功能)的资源。 当用户希望针对数据库运行指定的报告时,可以在数据库中本地计算的那些功能被捕获和计算,而诸如高级统计功能的其他功能可以分发到远程分析引擎或其他资源 网络。 管理模块可以协调数据的传输和组装,包括订单依赖性。 管理模块可以包含选择引擎以将计算分配给数据库或其他资源作为默认值,以在选择计算站点之前测试负载平衡或应用其他标准。