Patents by Inventor Phillip D. Delurgio

Phillip D. Delurgio 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).

  • Updating a forecast model
    Patent number: 8788306
    Abstract: A method for updating a forecast model is disclosed. The forecast model includes parameters that receives collected data representing historical dependent and causal data. The collected data are in different units of measure from one another. Based on the collected data, the forecast model is applied to determine a total error value from a calculation performed on the parameters in the forecast model. To update the forecast model, additional parameters are added, existing parameters are modified, or parameters are removed from the forecast model to determine a modified total error value. The modified total error value is then compared to the original total error value. The parameters are also converted to normalized values to be in a common unit of measure to facilitate the application of the forecast model to determine a total error value.
    Type: Grant
    Filed: February 29, 2008
    Date of Patent: July 22, 2014
    Assignee: International Business Machines Corporation
    Inventors: Phillip D. Delurgio, James Drew, Lisa Laane
  • System and Method for Updating Forecast Model
    Publication number: 20080221949
    Abstract: A method for updating a forecast model is disclosed. The forecast model includes parameters that receives collected data representing historical dependent and causal data. The collected data are in different units of measure from one another. Based on the collected data, the forecast model is applied to determine a total error value from a calculation performed on the parameters in the forecast model. To update the forecast model, additional parameters are added, existing parameters are modified, or parameters are removed from the forecast model to determine a modified total error value. The modified total error value is then compared to the original total error value. The parameters are also converted to normalized values to be in a common unit of measure to facilitate the application of the forecast model to determine a total error value.
    Type: Application
    Filed: February 29, 2008
    Publication date: September 11, 2008
    Inventors: Phillip D. Delurgio, James Drew, Lisa Laane