Patents by Inventor Paul M. Cereghini

Paul M. Cereghini 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).

  • Opportunity matrix for use with methods and systems for determining optimal pricing of retail products
    Patent number: 8082170
    Abstract: A data warehouse system and application which analyzes historical sales and product data contained within a data warehouse to determine the best product prices across a set of products for a retailer. The application analyzes historical sales and product data contained in a database to determine an opportunity score for multiple products sold by a retailer, the opportunity score indicating potential benefit to said business from changing the pricing of a product; and analyzes historical sales data contained in the database to determine an ability to change score for each product, the ability to change score indicating potential risk of lost sales for the retailer from changing the pricing of a product. Results of the analyses are displayed in a scatter plot graph with the graph axes being the opportunity scores and ability to change scores, respectively.
    Type: Grant
    Filed: May 30, 2007
    Date of Patent: December 20, 2011
    Assignee: Teradata US, Inc.
    Inventors: Paul M. Cereghini, Judy Bayer, Enrico Galimberti, Thomas Ryan
  • OPPORTUNITY MATRIX FOR USE WITH METHODS AND SYSTEMS FOR DETERMINING OPTIMAL PRICING OF RETAIL PRODUCTS
    Publication number: 20080235076
    Abstract: A data warehouse system and application which analyzes historical sales and product data contained within a data warehouse to determine the best product prices across a set of products for a retailer. The application analyzes historical sales and product data contained in a database to determine an opportunity score for multiple products sold by a retailer, the opportunity score indicating potential benefit to said business from changing the pricing of a product; and analyzes historical sales data contained in the database to determine an ability to change score for each product, the ability to change score indicating potential risk of lost sales for the retailer from changing the pricing of a product. Results of the analyses are displayed in a scatter plot graph with the graph axes being the opportunity scores and ability to change scores, respectively.
    Type: Application
    Filed: May 30, 2007
    Publication date: September 25, 2008
    Inventors: Paul M. Cereghini, Judy Bayer, Enrico Galimberti, Thomas Ryan
  • Horizontal implementation of expectation-maximization algorithm in SQL for performing clustering in very large databases
    Patent number: 6615205
    Abstract: A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to iteratively update the Gaussian mixture parameters stored within the tables.
    Type: Grant
    Filed: December 22, 2000
    Date of Patent: September 2, 2003
    Inventors: Paul M. Cereghini, Carlos Ordonez
  • Vertical implementation of expectation-maximization algorithm in SQL for performing clustering in very large databases
    Patent number: 6519591
    Abstract: A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to iteratively update the Gaussian mixture parameters stored within the tables.
    Type: Grant
    Filed: December 22, 2000
    Date of Patent: February 11, 2003
    Assignee: NCR Corporation
    Inventors: Paul M. Cereghini, Carlos Ordonez
  • Method for performing clustering in very large databases
    Patent number: 6496834
    Abstract: A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to iteratively update the Gaussian mixture parameters stored within the tables.
    Type: Grant
    Filed: December 22, 2000
    Date of Patent: December 17, 2002
    Assignee: NCR Corporation
    Inventors: Paul M. Cereghini, Carlos Ordonez