Patents by Inventor Christian Rauscher

Christian Rauscher 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: 8326854
    Abstract: A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations representing a count of non-matching events between the events of a candidate combination matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.
    Type: Grant
    Filed: March 9, 2012
    Date of Patent: December 4, 2012
    Assignee: UC4 Software GmbH
    Inventors: Martin Suntinger, Hannes Obweger, Christian Rauscher, Josef Schiefer
  • Publication number: 20120173547
    Abstract: A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations representing a count of non-matching events between the events of a candidate combination matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.
    Type: Application
    Filed: March 9, 2012
    Publication date: July 5, 2012
    Applicant: UC4 SOFTWARE GMBH
    Inventors: Martin Suntinger, Christian Rauscher, Hannes Obweger, Josef Schiefer
  • Patent number: 8200682
    Abstract: A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations of the events of a candidate combination with respect to the matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.
    Type: Grant
    Filed: April 22, 2008
    Date of Patent: June 12, 2012
    Assignee: UC4 Software GmbH
    Inventors: Martin Suntinger, Hannes Obweger, Christian Rauscher, Josef Schiefer
  • Publication number: 20090265336
    Abstract: A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations of the events of a candidate combination with respect to the matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.
    Type: Application
    Filed: April 22, 2008
    Publication date: October 22, 2009
    Applicant: SENACTIVE IT-DIENSTLEISTUNGS GMBH
    Inventors: Martin Suntinger, Christian Rauscher, Hannes Obweger, Josef Schiefer