Patents by Inventor Frank Beekmann

Frank Beekmann 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).

  • Method of multivariate estimation analysis and sampling for data mining
    Patent number: 7668793
    Abstract: A data mining method for determining association rules within a multitude of N transactions. Each transaction includes up to p different items. A sample size n of the multitude of N transactions is computed based on precision requirements such that n is at least an estimated sample size n*. Association rules are computed based on a sample of the multitude of N transactions with sample size n according to a methodology for mining of association rules, using the association rules as estimated association rules of the multitude of N transactions.
    Type: Grant
    Filed: October 2, 2007
    Date of Patent: February 23, 2010
    Assignee: International Business Machines Corporation
    Inventors: Frank Beekmann, Roland Grund, Andreas Rudolph
  • SAMPLING APPROACH FOR DATA MINING OF ASSOCIATION RULES
    Publication number: 20080147688
    Abstract: A data mining method for determining association rules within a multitude of N transactions. Each transaction includes up to p different items. A sample size n of the multitude of N transactions is computed based on precision requirements such that n is at least an estimated sample size n*. Association rules are computed based on a sample of the multitude of N transactions with sample size n according to a methodology for mining of association rules, using the association rules as estimated association rules of the multitude of N transactions.
    Type: Application
    Filed: October 2, 2007
    Publication date: June 19, 2008
    Inventors: Frank Beekmann, Roland Grund, Andreas Rudolph
  • Sampling approach for data mining of association rules
    Patent number: 7289984
    Abstract: The current invention relates to a data mining technology for determining association rules within a multitude of N transactions each transaction comprising up to p different items. According to the invention a sample size n of the multitude of N transactions is determined based on precision requirements. The sample size n is chosen such, that it is at least in the order of magnitude of an estimated sample size n*. Finally association rules are computed based on a sample of the multitude of N transactions with sample size n according to any methodology for mining of association rules using the association rules as estimated association rules of the multitude of N transactions.
    Type: Grant
    Filed: July 26, 2002
    Date of Patent: October 30, 2007
    Assignee: International Business Machines Corporation
    Inventors: Frank Beekmann, Roland Grund, Andreas Rudolph
  • Sampling approach for data mining of association rules
    Publication number: 20050027663
    Abstract: The current invention relates to a data mining technology for determining association rules within a multitude of N transactions each transaction comprising up to p different items. According to the invention a sample size n of the multitude of N transactions is determined based on precision requirements. The sample size n is chosen such, that it is at least in the order of magnitude of an estimated sample size n*. Finally association rules are computed based on a sample of the multitude of N transactions with sample size n according to any methodology for mining of association rules using the association rules as estimated association rules of the multitude of N transactions.
    Type: Application
    Filed: July 26, 2002
    Publication date: February 3, 2005
    Inventors: Frank Beekmann, Roland Grund