Patents by Inventor Srinivasa Raghu Garimella

Srinivasa Raghu Garimella 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).

  • Converting data models into in-database analysis models
    Patent number: 9552403
    Abstract: Data sets are analyzed to discover trends and determine predictive data models. A data model is determined based on analyzing the data set with a specific algorithm from a set of different analytical algorithms. The data model is stored in a structural file format. The data model is converted into an instantiated object model with the use of a predefined object model. The instantiated object model is converted into an in-database analysis model to score new data within a database system. The scoring is based on the logic in the data model. The in-database analysis model is stored on a database server part of a database system to provide analytical functionality defined in the data model. The new data can be scored with the in-database analysis model. The new data is not extracted from the database system and the scoring is accomplished in-memory.
    Type: Grant
    Filed: February 8, 2013
    Date of Patent: January 24, 2017
    Assignee: SAP SE
    Inventors: Arindam Bhattacharjee, Srinivasa Raghu Garimella, Ajay Kumar Gupta, Unmesh Sreedharan, Girish Kalasa Ganesh Pai
  • CONVERTING DATA MODELS INTO IN-DATABASE ANALYSIS MODELS
    Publication number: 20140229491
    Abstract: Data sets are analyzed to discover trends and determine predictive data models. A data model is determined based on analyzing the data set with a specific algorithm from a set of different analytical algorithms. The data model is stored in a structural file format. The data model is converted into an instantiated object model with the use of a predefined object model. The instantiated object model is converted into an in-database analysis model to score new data within a database system. The scoring is based on the logic in the data model. The in-database analysis model is stored on a database server part of a database system to provide analytical functionality defined in the data model. The new data can be scored with the in-database analysis model. The new data is not extracted from the database system and the scoring is accomplished in-memory.
    Type: Application
    Filed: February 8, 2013
    Publication date: August 14, 2014
    Inventors: Arindam Bhattacharjee, Srinivasa Raghu Garimella, Ajay Kumar Gupta, Unmesh Sreedharan, Girish Kalasa Ganesh Pai