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Statistical machine learning and business process models systems and methods

机译:统计机器学习和业务流程模型系统和方法

摘要

Methods and systems for knowledge extraction that involve providing analytics and blending the analytics with analysis of one or more knowledge processes are provided. Knowledge extraction may be based on combining analytic approaches, such as statistical and machine learning approaches. Unstructured data, such as numerical, geo-spatial, text, speech, image, video, data, and music, may be used as input for these processes. The methods and systems may convert this unstructured data into a structured knowledge that has some specific utility to its user. Some embodiments may involve service requests delivery, information and knowledge extraction, information and knowledge retrieval, media mining, marketing, and other uses. Different granularity levels of knowledge and information extraction may be provided. This differentiation may be used for monetization of the service.
机译:提供了用于知识提取的方法和系统,其涉及提供分析并将分析与对一个或多个知识过程的分析混合。知识提取可以基于组合分析方法,例如统计方法和机器学习方法。非结构化数据(例如数字,地理空间,文本,语音,图像,视频,数据和音乐)可以用作这些过程的输入。该方法和系统可以将这种非结构化数据转换成对其用户具有某些特定效用的结构化知识。一些实施例可以涉及服务请求传递,信息和知识提取,信息和知识检索,媒体挖掘,营销以及其他用途。可以提供知识和信息提取的不同粒度级别。这种区别可以用于服务的货币化。

著录项

  • 公开/公告号US9092802B1

    专利类型

  • 公开/公告日2015-07-28

    原文格式PDF

  • 申请/专利权人 RAMAKRISHNA AKELLA;

    申请/专利号US201213586310

  • 发明设计人 RAMAKRISHNA AKELLA;

    申请日2012-08-15

  • 分类号G06N5;G06F1;G06Q30/02;

  • 国家 US

  • 入库时间 2022-08-21 15:18:55

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