Patents by Inventor Samiulla Shaikh

Samiulla Shaikh 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).

  • Recommending machine learning models and source codes for input datasets
    Patent number: 11501191
    Abstract: Asset recommendation for a particular input dataset is provided. Candidate data analysis assets having a corresponding relatedness score associated with the particular input dataset greater than a defined relatedness score threshold value are selected. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are ranked by score. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are listed by rank from highest to lowest. A justification for each candidate data analysis asset is inserted in the ranked list of candidate data analysis assets. The ranked list of candidate data analysis assets along with each respective justification is outputted on a display device.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: November 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Samiulla Shaikh, Sameep Mehta, Manish Bhide, William B. Lobig
  • Generating a recommended shaping function to integrate data within a data repository
    Patent number: 10783161
    Abstract: A method includes determining, by a controller, a portion of data that is selected by a user. The portion of data includes source data that is to be transformed by at least one shaping function. The method also includes generating, by the controller, a first output recommendation data that communicates at least one recommended shaping function to apply to the portion of data. The first output recommendation data is generated based on patterns of shaping functions that have been previously chosen. The patterns of shaping functions that have been previously chosen can be chosen by a plurality of system users. The method also includes determining whether to apply the at least one recommended shaping function to the portion of data. The method also includes applying the at least one recommended shaping function based on the determining.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: September 22, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Manish Bhide, Shabharesh Gudla, Sameep Mehta, Prishni Rateria, Samiulla Shaikh, Neelesh K. Shukla, Paul S. Taylor
  • RECOMMENDING MACHINE LEARNING MODELS AND SOURCE CODES FOR INPUT DATASETS
    Publication number: 20200097845
    Abstract: Asset recommendation for a particular input dataset is provided. Candidate data analysis assets having a corresponding relatedness score associated with the particular input dataset greater than a defined relatedness score threshold value are selected. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are ranked by score. Those candidate data analysis assets having a corresponding relatedness score greater than the defined relatedness score threshold value are listed by rank from highest to lowest. A justification for each candidate data analysis asset is inserted in the ranked list of candidate data analysis assets. The ranked list of candidate data analysis assets along with each respective justification is outputted on a display device.
    Type: Application
    Filed: September 21, 2018
    Publication date: March 26, 2020
    Inventors: Samiulla Shaikh, Sameep Mehta, Manish Bhide, William B. Lobig
  • GENERATING A RECOMMENDED SHAPING FUNCTION TO INTEGRATE DATA WITHIN A DATA REPOSITORY
    Publication number: 20190188307
    Abstract: A method includes determining, by a controller, a portion of data that is selected by a user. The portion of data includes source data that is to be transformed by at least one shaping function. The method also includes generating, by the controller, a first output recommendation data that communicates at least one recommended shaping function to apply to the portion of data. The first output recommendation data is generated based on patterns of shaping functions that have been previously chosen. The patterns of shaping functions that have been previously chosen can be chosen by a plurality of system users. The method also includes determining whether to apply the at least one recommended shaping function to the portion of data. The method also includes applying the at least one recommended shaping function based on the determining.
    Type: Application
    Filed: December 15, 2017
    Publication date: June 20, 2019
    Inventors: Manish Bhide, Shabharesh Gudla, Sameep Mehta, Prishni Rateria, Samiulla Shaikh, Neelesh K. Shukla, Paul S. Taylor