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TODAY’S PATENT – ARTIFICIAL INTELLIGENCE MACHINE LEARNING, AND PREDICTIVE ANALYTIC FOR PATENT AND NON-PATENT DOCUMENTS

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TODAY’S PATENT – ARTIFICIAL INTELLIGENCE MACHINE LEARNING, AND PREDICTIVE ANALYTIC FOR PATENT AND NON-PATENT DOCUMENTS

Today’s patent was invented by Alex H Chan, Oleksandr Loginov and Eric Dew on December 18, 2018, bearing patent no. US10157352B1.

In general, “big data” describes a set of one or more data sets that are so numerous or intricate that conventional database management tools and/or data processing software such as relational databases and desktop statistical packages cannot handle them in a reasonable length of time. This application’s focus is on machine learning-based modifications to document management systems, which is a subset of document management in general.

For determining if a patent is valid or invalid, systems, procedures, and computer programme methodologies are disclosed. A document management system’s configuration can be changed via systems, techniques, and computer programmes. In some implementations, document data that represent one or more documents is provided as a machine learning input. Then, using machine learning, a pattern in one or more of the documents is found. A document management system’s setup is changed in accordance with the recognized pattern.

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    Tanya Janghel

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