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US Patent 11886514 Machine learning segmentation methods and systems

Patent 11886514 was granted and assigned to Kinaxis on January, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Kinaxis
Kinaxis
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Current Assignee
Kinaxis
Kinaxis
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118865140
Patent Inventor Names
Ivy Blackmore0
Marcio Oliveira Almeida0
Jean-François Dubeau0
Zhen Lin0
Seyednaser Nourashrafeddin0
Date of Patent
January 30, 2024
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Patent Application Number
168482660
Date Filed
April 14, 2020
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Patent Citations
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US Patent 10102476 Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules
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US Patent 10192243 Method and apparatus for determining promotion pricing parameters
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US Patent 10255550 Machine learning using multiple input data types
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US Patent 10402788 Dashboard interface, platform, and environment for intelligent subscription product selection
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US Patent 11537825 Systems and methods for features engineering
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US Patent 11526899 Systems and methods for dynamic demand sensing
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US Patent 7257513 Performance monitoring system and method
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US Patent 7792353 Retraining a machine-learning classifier using re-labeled training samples
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Patent Primary Examiner
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Nga B. Nguyen
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CPC Code
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G06Q 30/06
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G06Q 30/02
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G06Q 10/06
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Patent abstract

Machine learning segmentation methods and systems that perform segmentation quickly, efficiently, cheaply, and optionally provides an interactive feature that allows a user to alter the segmentation until a desired result is obtained. The automated machine learning segmentation tool receives all potentially important attributes and provides segmentation of items. It also receives information about important features of the data and finds how best to differentiate between groups using cluster-based machine learning algorithms. In addition, visualization of the segmentation explains to a user how the segmentation was obtained.

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