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US Patent 10366335 Systems and methods for symbolic analysis

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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
0
Patent Number
103663350
Patent Inventor Names
Michael Schmidt0
Date of Patent
July 30, 2019
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Patent Application Number
140163000
Date Filed
September 3, 2013
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Patent Citations
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US Patent 10102483 System and method for auto-query generation
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Patent Citations Received
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US Patent 11922329 Systems for second-order predictive data analytics, and related methods and apparatus
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US Patent 10984367 Systems and techniques for predictive data analytics
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US Patent 11250449 Methods for self-adaptive time series forecasting, and related systems and apparatus
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US Patent 11599829 Free-form integration of machine learning model primitives
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US Patent 11494294 Model integration tool
Patent Primary Examiner
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Eric Nilsson
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Patent abstract

Systems and methods of searching for related data sets are provided. Multivariate data sets can be input as queries into a data set search engine. According to one embodiment, the input data set is automatically reduced to a set of best fit data models of minimum complexity that represent the data set. The data model is then compared to other data models to not only identify similarity between the models, but also to identify the particulars of why the data models are related. Similar data model results can be analyzed to determine the quality of each returned data model based on an information scores. These results can be displayed graphically as a topographical map of nodes and edge. Each node can represent a data model and each edge can reflect the similarity between the nodes.

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