Patents by Inventor Alan Maher

Alan Maher 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: 11803761
    Abstract: The present disclosure pertains to processing a data model having hierarchical data. A front-end computer sends a request to a back-end computer for dimension candidates for the data model, which is visualized by the front-end computer. The front-end computer is configured score and rank such dimension candidates in order to determine statistics from the data model. The back-end computer determines dimension candidates based on their cardinality and hierarchical information and sends the dimension candidates to the front-end computer. The front-end computer performs the scoring and ranking of dimension candidates and determines statistics for a set of the dimension candidates. The statistics may be presented to a user along with charts and graphs representing the data model.
    Type: Grant
    Filed: November 20, 2019
    Date of Patent: October 31, 2023
    Assignee: BUSINESS OBJECTS SOFTWARE LTD
    Inventors: Balazs Pete, Andong Wang, Jung-Rung Han, Flavia Silvana Moser, Alan Maher
  • Publication number: 20210365471
    Abstract: The present disclosure involves systems, software, and computer implemented methods for generating insights based on numeric and categorical data. One example method includes receiving a request for an insight analysis for a dataset that includes at least one continuous feature and at least one categorical feature. Continuous features can have any value within a range of numerical values and categorical features are enumerated features that can have a value from a predefined set of values. A selection of a first continuous feature for analysis is received, and at least one categorical feature is identified for analysis. A deviation factor and a relationship factor are determined for each identified categorical feature. An insight score is determined for each identified categorical feature that combines the deviation factor and the relationship factor for the categorical feature. The insight score is provided for at least some of the identified categorical features.
    Type: Application
    Filed: May 19, 2020
    Publication date: November 25, 2021
    Inventors: Paul O'Hara, Robert McGrath, Ying Wu, Shekhar Chhabra, Eoin Goslin, Pat Connaughton, John Bowden, Alan Maher, David Hutchinson, Leanne Long, Malte Christian Kaufmann, Pukhraj Saxena, Priti Mulchandani, Anirban Banerjee
  • Publication number: 20210150375
    Abstract: The present disclosure pertains to processing a data model having hierarchical data. A front-end computer sends a request to a back-end computer for dimension candidates for the data model, which is visualized by the front-end computer. The front-end computer is configured score and rank such dimension candidates in order to determine statistics from the data model. The back-end computer determines dimension candidates based on their cardinality and hierarchical information and sends the dimension candidates to the front-end computer. The front-end computer performs the scoring and ranking of dimension candidates and determines statistics for a set of the dimension candidates. The statistics may be presented to a user along with charts and graphs representing the data model.
    Type: Application
    Filed: November 20, 2019
    Publication date: May 20, 2021
    Inventors: Balazs Pete, Andong Wang, Jung-rung Han, Flavia Silvana Moser, Alan Maher