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US Patent 9489630 Systems and techniques for predictive data analytics

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
94896300
Patent Inventor Names
Timothy Owen0
Jeremy Achin0
Thomas DeGodoy0
Xavier Conort0
Date of Patent
November 8, 2016
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Patent Application Number
147200790
Date Filed
May 22, 2015
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Patent Citations Received
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US Patent 12124442 Artificial intelligence-based resource management of computing systems and complex database systems
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US Patent 12072915 Method and system for providing profile based data access through semantic domain layer
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US Patent 11663042 System for generating electronic alerts through predictive optimization analysis of resource conversions
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US Patent 11704582 Machine learning to identify individuals for a therapeutic intervention provided using digital devices
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US Patent 12072792 Software testing using machine learning
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US Patent 11775841 Process and system including explainable prescriptions through surrogate-assisted evolution
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US Patent 11853657 Machine-learned model selection network planning
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US Patent 11783195 Process and system including an optimization engine with evolutionary surrogate-assisted prescriptions
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Patent Primary Examiner
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Luis Sitiriche
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Patent abstract

Systems and techniques for predictive data analytics are described. In a method for selecting a predictive model for a prediction problem, the suitabilities of predictive modeling procedures for the prediction problem may be determined based on characteristics of the prediction problem and/or on attributes of the respective modeling procedures. A subset of the predictive modeling procedures may be selected based on the determined suitabilities of the selected modeling procedures for the prediction problem. A resource allocation schedule allocating computational resources for execution of the selected modeling procedures may be generated, based on the determined suitabilities of the selected modeling procedures for the prediction problem. Results of the execution of the selected modeling procedures in accordance with the resource allocation schedule may be obtained. A predictive model for the prediction problem may be selected based on those results.

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