Patents by Inventor Ryan M. LaSalle

Ryan M. LaSalle 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: 9531743
    Abstract: According to an example, a method for data trend analysis may include retrieving data from data sources, associating the data with a time, and identifying co-occurrences of terms and concepts within the data. In response to determining that co-occurrences of term and concept pairs reach a predefined threshold, the method may include adding the term and concept pairs to an ontology. The method may include logging occurrences of terms in the ontology within the data with respect to associated data times, identifying a plurality of time periods, and for one of the plurality of time periods and for the logged terms, determining a first score indicative of a weighted term frequency metric for a logged term within the data during the one time period, and determining a second score indicative of a commonality of a presence of the logged term within the data among the plurality of time periods.
    Type: Grant
    Filed: May 5, 2016
    Date of Patent: December 27, 2016
    Assignee: ACCENTURE GLOBAL SERVICES LIMITED
    Inventors: Joshua Z. Howes, James Solderitsch, Ryan M. Lasalle, David W. Rozmiarek, Eric A. Ellett
  • Publication number: 20160248793
    Abstract: According to an example, a method for data trend analysis may include retrieving data from data sources, associating the data with a time, and identifying co-occurrences of terms and concepts within the data. In response to determining that co-occurrences of term and concept pairs reach a predefined threshold, the method may include adding the term and concept pairs to an ontology. The method may include logging occurrences of terms in the ontology within the data with respect to associated data times, identifying a plurality of time periods, and for one of the plurality of time periods and for the logged terms, determining a first score indicative of a weighted term frequency metric for a logged term within the data during the one time period, and determining a second score indicative of a commonality of a presence of the logged term within the data among the plurality of time periods.
    Type: Application
    Filed: May 5, 2016
    Publication date: August 25, 2016
    Applicant: Accenture Global Services Limited
    Inventors: Joshua Z. HOWES, James SOLDERITSCH, Ryan M. LASALLE, David W. ROZMIAREK, Eric A. ELLETT
  • Patent number: 9355172
    Abstract: According to an example, a method for data trend analysis may include retrieving data from data sources, associating the data with a time, and identifying co-occurrences of terms and concepts within the data. In response to determining that co-occurrences of term and concept pairs reach a predefined threshold, the method may include adding the term and concept pairs to an ontology. The method may include logging occurrences of terms in the ontology within the data with respect to associated data times, identifying a plurality of time periods, and for one of the plurality of time periods and for the logged terms, determining a first score indicative of a weighted term frequency metric for a logged term within the data during the one time period, and determining a second score indicative of a commonality of a presence of the logged term within the data among the plurality of time periods.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: May 31, 2016
    Assignee: ACCENTURE GLOBAL SERVICES LIMITED
    Inventors: Joshua Z. Howes, James Solderitsch, Ryan M. LaSalle, David W. Rozmiarek, Eric A. Ellett
  • Publication number: 20140283048
    Abstract: According to an example, a method for data trend analysis may include retrieving data from data sources, associating the data with a time, and identifying co-occurrences of terms and concepts within the data. In response to determining that co-occurrences of term and concept pairs reach a predefined threshold, the method may include adding the term and concept pairs to an ontology. The method may include logging occurrences of terms in the ontology within the data with respect to associated data times, identifying a plurality of time periods, and for one of the plurality of time periods and for the logged terms, determining a first score indicative of a weighted term frequency metric for a logged term within the data during the one time period, and determining a second score indicative of a commonality of a presence of the logged term within the data among the plurality of time periods.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Applicant: Accenture Global Services Limited
    Inventors: Joshua Z. Howes, James Solderitsch, Ryan M. LaSalle, David W. Rozmiarek, Eric A. Ellett
  • Patent number: 7337120
    Abstract: A method that includes obtaining human performance related data from at least one remotely located application service provider, organizing the data into at least one metric, preparing an interpretation of the data and providing interactive, on-line access to the data and the interpretation.
    Type: Grant
    Filed: February 7, 2002
    Date of Patent: February 26, 2008
    Assignee: Accenture Global Services GmbH
    Inventors: Garth R. Andrus, Charles Nebolsky, Matthew J. Majer, Ryan M. LaSalle, Eric R. Miller, Peter W. Park, Janet A. Tafoya, Anouk Trudel
  • Publication number: 20030149614
    Abstract: A method that includes obtaining human performance related data from at least one remotely located application service provider, organizing the data into at least one metric, preparing an interpretation of the data and providing interactive, on-line access to the data and the interpretation.
    Type: Application
    Filed: February 7, 2002
    Publication date: August 7, 2003
    Inventors: Garth R. Andrus, Charles Nebolsky, Matthew J. Majer, Ryan M. LaSalle, Eric R. Miller, Peter W. Park, Janet A. Tafoya, Anouk Trudel