Patents by Inventor Clara Liu

Clara Liu 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: 11868500
    Abstract: A method of accessing objects with fine-grained access control (FGAC) in a relational database management system (RDBMS) storing a segmented column-major database. For each object with access restrictions, an artificial neural network (ANN), is trained by generating an equally distributed segment map of segmented data entries, so that the map reproduces the row disposition in the unsegmented object. When a user access request is received, these ANNs are referred to determine if any of the objects to be accessed are subject to access restrictions. If that is the case, then the ANN creates a pseudo-view construct of its associated object which is limited to data entries that the user has permission to access. The pseudo-views are then injected into the user access request to embed the fine-grained access controls for subsequent processing of the request, which can then proceed without further regard to user-specific access restrictions.
    Type: Grant
    Filed: March 24, 2021
    Date of Patent: January 9, 2024
    Assignee: International Business Machines Corporation
    Inventors: Pedro Miguel Barbas, Enzo Cialini, David Kelly, Qinlong Luo, Clara Liu
  • Patent number: 11762867
    Abstract: Embodiments of the present invention provide systems and methods for associating rule mining in data comprising first and second variables, by generating a first and second filtering bitmap. The first filtering bitmap represents a set of values for the second variable for each of a plurality of values of the first variable. The second filtering bitmap represents, associations between frequent values of the second variable, which enables the identification of frequent 2-pattern itemsets. Thus, by performing first logical operations on the frequent 2-pattern itemsets, frequent high order-pattern itemsets may be identified. A max pattern itemset may be identified among the frequent high order-pattern itemsets. As a result, embodiments may mitigate performance and stability problems associated with conventional association rule mining approaches.
    Type: Grant
    Filed: October 7, 2021
    Date of Patent: September 19, 2023
    Assignee: International Business Machines Corporation
    Inventors: Pedro Miguel Barbas, David Kelly, Clara Liu, Enzo Cialini, Manohar Bashyam
  • Publication number: 20230112833
    Abstract: Embodiments of the present invention provide systems and methods for associating rule mining in data comprising first and second variables, by generating a first and second filtering bitmap. The first filtering bitmap represents a set of values for the second variable for each of a plurality of values of the first variable. The second filtering bitmap represents, associations between frequent values of the second variable, which enables the identification of frequent 2-pattern itemsets. Thus, by performing first logical operations on the frequent 2-pattern itemsets, frequent high order-pattern itemsets may be identified. A max pattern itemset may be identified among the frequent high order-pattern itemsets. As a result, embodiments may mitigate performance and stability problems associated with conventional association rule mining approaches.
    Type: Application
    Filed: October 7, 2021
    Publication date: April 13, 2023
    Inventors: Pedro Miguel Barbas, DAVID KELLY, Clara Liu, Enzo Cialini, MANOHAR BASHYAM
  • Patent number: 11520804
    Abstract: Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.
    Type: Grant
    Filed: May 13, 2021
    Date of Patent: December 6, 2022
    Assignee: International Business Machines Corporation
    Inventors: Pedro Miguel Barbas, David Kelly, Clara Liu, Enzo Cialini, Manohar Bashyam
  • Publication number: 20220365949
    Abstract: Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.
    Type: Application
    Filed: May 13, 2021
    Publication date: November 17, 2022
    Inventors: Pedro Miguel Barbas, DAVID KELLY, Clara Liu, Enzo Cialini, MANOHAR BASHYAM
  • Publication number: 20220309180
    Abstract: A method of accessing objects with fine-grained access control (FGAC) in a relational database management system (RDBMS) storing a segmented column-major database. For each object with access restrictions, an artificial neural network (ANN), is trained by generating an equally distributed segment map of segmented data entries, so that the map reproduces the row disposition in the unsegmented object. When a user access request is received, these ANNs are referred to determine if any of the objects to be accessed are subject to access restrictions. If that is the case, then the ANN creates a pseudo-view construct of its associated object which is limited to data entries that the user has permission to access. The pseudo-views are then injected into the user access request to embed the fine-grained access controls for subsequent processing of the request, which can then proceed without further regard to user-specific access restrictions.
    Type: Application
    Filed: March 24, 2021
    Publication date: September 29, 2022
    Inventors: Pedro Miguel Barbas, Enzo Cialini, DAVID KELLY, Qinlong Luo, Clara Liu
  • Publication number: 20020169035
    Abstract: An improved structure for the club head of a wooden club, characterized in that the inner lateral side of the ball impact face board of the club head is provided with a plurality of cylindrical bodies connected at one point and the cylindrical bodies are extended toward the lateral side of the club head such that the cylindrical bodies are focused at the center connection of the club head, and another one cylindrical body is extended from the center connection to the bottom edge of the rear board of the club head and is mounted. Thus, the ball-impact face board is provided with a strong compression, thereby allowing the swinging of the club to impact on a golf ball and the impact distance is greatly improved.
    Type: Application
    Filed: May 9, 2001
    Publication date: November 14, 2002
    Inventor: Clara Liu