Patents by Inventor Agam Dhanoa

Agam Dhanoa 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).

  • System, method and computer program for multi-dimensional temporal and relative data mining framework, analysis and sub-grouping
    Patent number: 9898513
    Abstract: The present invention relates to a system, method and computer program product that is a multi-dimensional data mining environment and that operable to apply a series of temporal and relative rules (i.e., STDMn0) and is further operable in at least one of the following ways: to incorporate a framework to support temporal abstractions and relative alignments to data (i.e., STDMn0); and to derive characteristics within the data (STDMn0). The present invention may incorporate data from multiple sources, and potentially multiple centers. The analysis and alignment of the data may involve both temporal dimensions and other dimensions (or relative aspects) of the data. The present invention may further be a data mining environment that is flexible enough to permit relatively open ended queries thereby enabling, for example, the detection of trends, including trends with new dimensions, or trends based on relatively small data sets.
    Type: Grant
    Filed: December 12, 2012
    Date of Patent: February 20, 2018
    Inventors: Carolyn Patricia McGregor, Kathleen Patricia Smith, Agam Dhanoa
  • SYSTEM, METHOD AND COMPUTER PROGRAM FOR MULTI-DIMENSIONAL TEMPORAL AND RELATIVE DATA MINING FRAMEWORK, ANALYSIS & SUB-GROUPING
    Publication number: 20140358926
    Abstract: The present invention relates to a system, method and computer program product that is a multi-dimensional data mining environment and that operable to apply a series of temporal and relative rules (i.e., STDMn0) and is further operable in at least one of the following ways: to incorporate a framework to support temporal abstractions and relative alignments to data (i.e., STDMn0); and to derive characteristics within the data (STDMn0). The present invention may incorporate data from multiple sources, and potentially multiple centres. The analysis and alignment of the data may involve both temporal dimensions and other dimensions (or relative aspects) of the data. The present invention may further be a data mining environment that is flexible enough to permit relatively open ended queries thereby enabling, for example, the detection of trends, including trends with new dimensions, or trends based on relatively small data sets.
    Type: Application
    Filed: December 12, 2012
    Publication date: December 4, 2014
    Inventors: Carolyn Patricia McGregor, Kathleen Patricia Smith, Agam Dhanoa