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US Patent 9092802 Statistical machine learning and business process models systems and methods

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
90928020
Date of Patent
July 28, 2015
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Patent Application Number
135863100
Date Filed
August 15, 2012
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Patent Citations Received
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US Patent 12062059 Self-supervised system generating embeddings representing sequenced activity
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US Patent 11995050 Systems and methods for sketch computation
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US Patent 12002059 Role-specific process compliance alert system
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US Patent 11783005 Classifying and mapping sentences using machine learning
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US Patent 11861143 Natural language processing system and method for documents
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US Patent 11870862 State prediction of devices
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US Patent 11882140 System and method for detecting repetitive cybersecurity attacks constituting an email campaign
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Patent Primary Examiner
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Jeffrey A. Gaffin
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Patent abstract

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.

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