Patents by Inventor Medb Corcoran

Medb Corcoran 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).

  • Publication number: 20170278015
    Abstract: A self-learning system for categorizing log entries may be provided. A text classifier may identify a log description of a log entry in response to text of the log description being associated with indicators of a word model. A datafield classifier may generate a datafield metrics including an accuracy of the categorical identifiers representing the datafield. A metafield classifier may generate a context metrics for the context of the log entry, the context metrics including an accuracy categorical identifiers representing the metafields. A combination classifier may form a weighted classification set and select a categorical identifier as being representative of the datafield based on the weighted classification set. A categorical controller may identify new categories based on an analysis of the context metrics of the log entry.
    Type: Application
    Filed: March 23, 2017
    Publication date: September 28, 2017
    Inventors: Abhilash Alexander Miranda, Laura Alvarez Jubete, Medb Corcoran, Edward Burgin, Kristine Renker, Kris Timmermans, Kimberly De Maeseneer, Amaury Reychler, Shinichiro Shuda, Robert Willems, Laura O'Malley, Urvesh Bhowan, Pedro Sacristan