Patents by Inventor Milena Caires

Milena Caires 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).

  • Predictive modeling optimization
    Patent number: 10789547
    Abstract: Techniques are described for identifying an input training dataset stored within an underlying data platform; and transmitting instructions to the data platform, the instructions being executable by the data platform to train a predictive model based on the input training dataset by delegating one or more data processing operations to a plurality of nodes across the data platform.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: September 29, 2020
    Assignee: Business Objects Software Ltd.
    Inventors: Alan McShane, Jacques Doan Huu, Ahmed Abdelrahman, Antoine Carme, Bertrand Lamy, Fadi Maali, Laya Ouologuem, Milena Caires, Nicolas Dulian, Erik Marcade
  • Unified client for distributed processing platform
    Patent number: 10305967
    Abstract: Techniques are described for providing a unified client to interact with a distributed processing platform such as a Hadoop cluster. The unified client may include multiple sub-clients each of which is configured to interface with a particular subsystem of the distributed processing platform, such as MapReduce, Hive, Spark, and so forth. The unified client may be included in an application to provide, for the application, a single interface for communications between the application and the distributed processing platform during a unified communication session.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: May 28, 2019
    Assignee: Business Objects Software Ltd.
    Inventors: Jacques Doan Huu, Alan McShane, Ahmed Abdelrahman, Fadi Maali, Milena Caires
  • PREDICTIVE MODELING OPTIMIZATION
    Publication number: 20170262769
    Abstract: Techniques are described for identifying an input training dataset stored within an underlying data platform; and transmitting instructions to the data platform, the instructions being executable by the data platform to train a predictive model based on the input training dataset by delegating one or more data processing operations to a plurality of nodes across the data platform.
    Type: Application
    Filed: September 9, 2016
    Publication date: September 14, 2017
    Inventors: Alan McShane, Jacques Doan Huu, Ahmed Abdelrahman, Antoine Carme, Bertrand Lamy, Fadi Maali, Laya Ouologuem, Milena Caires, Nicolas Dulian, Erik Marcade
  • UNIFIED CLIENT FOR DISTRIBUTED PROCESSING PLATFORM
    Publication number: 20170264670
    Abstract: Techniques are described for providing a unified client to interact with a distributed processing platform such as a Hadoop cluster. The unified client may include multiple sub-clients each of which is configured to interface with a particular subsystem of the distributed processing platform, such as MapReduce, Hive, Spark, and so forth. The unified client may be included in an application to provide, for the application, a single interface for communications between the application and the distributed processing platform during a unified communication session.
    Type: Application
    Filed: September 9, 2016
    Publication date: September 14, 2017
    Inventors: Jacques Doan Huu, Alan McShane, Ahmed Abdelrahman, Fadi Maali, Milena Caires