Patents by Inventor Alexander C. Elek

Alexander C. Elek has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10896388
    Abstract: The present invention relates to systems and methods for model generation. The model is generated by selecting indicators that are relevant to the model, determining a strength score for each of the indicators, ranking the indicators by their strength scores, and bucketizing the indicators. Different permutations of the indicators are then selected for modeling in parallel. The model results are compared, and the ‘best’ model (most historically accurate) is selected for display within a report.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: January 19, 2021
    Assignee: PREVEDERE, INC.
    Inventors: Kyler Cooper, Jessica Emily Dolezal, Andrew Duguay, Alexander C. Elek, Danielle Marceau, Richard Wagner
  • Patent number: 10740772
    Abstract: The present invention relates to systems and methods for forecasting using time series datasets. A composite may be generated by receiving datasets, normalizing them, and receiving formula configurations in order to combine the datasets together. The transformation of a dataset may be restricted if the accuracy of the transformation would be decreased, and if no suitable alternate dataset is available. A forecast may be generated using selected forecast type, calculation type, cutoff period, pre-adjustment, post-adjustment, indicators, and selected weights and offsets for the indicators. The forecast analysis may be updated by locking the time domain for one or more of the indicators. Forecast results may be outputted to a spreadsheet or other system utilizing add-ins. Any composite or forecast generated may be stored within a model repository for later use as an indicator.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: August 11, 2020
    Assignee: Prevedere, Inc.
    Inventors: Richard Wagner, Jason B. Kerns, Jose K. Paul, Alexander C. Elek
  • Publication number: 20190188612
    Abstract: The present invention relates to systems and methods for model generation. The model is generated by selecting indicators that are relevant to the model, determining a strength score for each of the indicators, ranking the indicators by their strength scores, and bucketizing the indicators. Different permutations of the indicators are then selected for modeling in parallel.
    Type: Application
    Filed: December 14, 2018
    Publication date: June 20, 2019
    Inventors: Kyler Cooper, Jessica Emily Dolezal, II, Andrew Duguay, Alexander C. Elek, Danielle Marceau, Richard Wagner
  • Publication number: 20160328726
    Abstract: The present invention relates to systems and methods for forecasting using time series datasets. A composite may be generated by receiving datasets, normalizing them, and receiving formula configurations in order to combine the datasets together. The transformation of a dataset may be restricted if the accuracy of the transformation would be decreased, and if no suitable alternate dataset is available. A forecast may be generated using selected forecast type, calculation type, cutoff period, pre-adjustment, post-adjustment, indicators, and selected weights and offsets for the indicators. The forecast analysis may be updated by locking the time domain for one or more of the indicators. Forecast results may be outputted to a spreadsheet or other system utilizing add-ins. Any composite or forecast generated may be stored within a model repository for later use as an indicator.
    Type: Application
    Filed: May 13, 2016
    Publication date: November 10, 2016
    Inventors: Richard Wagner, Jason B. Kerns, Jose K. Paul, Alexander C. Elek