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    • 11. 发明申请
    • Smarter Business Intelligence Systems
    • 更聪明的商业智能系统
    • US20120191636A1
    • 2012-07-26
    • US13012554
    • 2011-01-24
    • Sumit NegiManish A. BhideVishal S. BatraGovind Kothari
    • Sumit NegiManish A. BhideVishal S. BatraGovind Kothari
    • G06N5/02
    • G06F17/27G06Q10/00
    • An embodiment of the invention provides a method and system for analyzing a plurality of reports. More specifically, a change detection module predicts results of future reports based on past reports and identifies a first report that deviates from its predicted results. A dependency analysis module connected to the change detection module at least one report sharing a dependency with the first report by performing a dependency analysis and/or a usage analysis. The dependency analysis labels the first report and at least one second report as sharing a dependency if the second report deviates from its predicted results. The usage analysis labeling the first report and at least one report analyzed by an analyst as sharing a dependency if the report analyzed by the analyst is analyzed in response to the identification of the first report.
    • 本发明的实施例提供了一种用于分析多个报告的方法和系统。 更具体地,变更检测模块基于过去的报告预测未来报告的结果,并且识别偏离其预测结果的第一报告。 依赖关系分析模块,通过执行依赖性分析和/或使用分析,将与所述第一报告共享依赖性的至少一个报告连接到所述变更检测模块。 如果第二个报告偏离其预测结果,依赖关系分析将第一个报告和至少一个第二个报告标记为共享依赖关系。 如果对分析师分析的报告进行了分析,则分析了第一次报告的标签使用情况分析,以及分析员分析的至少一份报告,以分析依赖关系,以响应第一份报告的识别。
    • 15. 发明申请
    • System and method for on-demand analysis of unstructured text data returned from a database
    • 从数据库返回的非结构化文本数据的按需分析的系统和方法
    • US20060248087A1
    • 2006-11-02
    • US11118538
    • 2005-04-29
    • Neeraj AgrawalScott HolmesKiran MehtaSumit Negi
    • Neeraj AgrawalScott HolmesKiran MehtaSumit Negi
    • G06F17/30
    • G06F16/3344
    • A system and method of retrieving data from a database comprising unstructured data comprises specifying a text analytic component in an unstructured text query at query runtime; submitting the unstructured text query to a web service database; filtering unstructured text data in the web service database based on constraints defined in the text analytic component in the query; and receiving the filtered unstructured text data based on the submitted query from the web service database, wherein the text analytic component comprises metadata requirements. Preferably, the constraints comprise any of positive sentiments regarding an unstructured text document and negative sentiments regarding the unstructured text document. Alternatively, the constraints may comprise any of name spotting constraints, address spotting constraints, date spotting constraints, and entity spotting constraints. The filtering preferably occurs using a web-based callback service specified in a WFQL XML document. The database is preferably run on a WebFountain platform.
    • 从包括非结构化数据的数据库检索数据的系统和方法包括在查询运行时指定非结构化文本查询中的文本分析组件; 将非结构化文本查询提交到Web服务数据库; 基于查询中文本分析组件中定义的约束,过滤Web服务数据库中的非结构化文本数据; 以及基于从所述Web服务数据库提交的查询接收所述经过过滤的非结构化文本数据,其中所述文本分析组件包括元数据要求。 优选地,约束包括关于非结构化文本文档的任何正面情绪以及关于非结构化文本文档的消极情绪。 或者,约束可以包括任何名称检测约束,地址检测约束,日期检测约束和实体检测约束。 过滤优先使用WFQL XML文档中指定的基于Web的回调服务进行。 数据库最好在WebFountain平台上运行。