Patents by Inventor Priyam Aneja

Priyam Aneja 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: 10262286
    Abstract: A method for comparing and analyzing data based on data analysis reports is provided. The method may include receiving a first dataset. The method may also include identifying a first portion of the first dataset and a second portion of the first dataset. Additionally, the method may include comparing and analyzing the first portion of the first dataset with the second portion of the first dataset. The method may also include receiving a second dataset from a location different from the first dataset. The method may further include comparing and analyzing the first portion and second portion of the first dataset with the second dataset. The method may also include receiving a plurality of first analysis results and a plurality of second analysis results based on the comparisons and the analyses. The method may also include presenting the plurality of first analysis results and the plurality of second analysis results.
    Type: Grant
    Filed: March 6, 2015
    Date of Patent: April 16, 2019
    Assignee: International Business Machines Corporation
    Inventors: Priyam Aneja, Laxmi V. Bhatt, Sonal Bhatt, Meghali V. Munoli, Sonia L. Sequeira, Hemant K. Sivaswamy
  • Patent number: 10262287
    Abstract: A method for comparing and analyzing data based on data analysis reports is provided. The method may include receiving a first dataset. The method may also include identifying a first portion of the first dataset and a second portion of the first dataset. Additionally, the method may include comparing and analyzing the first portion of the first dataset with the second portion of the first dataset. The method may also include receiving a second dataset from a location different from the first dataset. The method may further include comparing and analyzing the first portion and second portion of the first dataset with the second dataset. The method may also include receiving a plurality of first analysis results and a plurality of second analysis results based on the comparisons and the analyzes. The method may also include presenting the plurality of first analysis results and the plurality of second analysis results.
    Type: Grant
    Filed: March 25, 2016
    Date of Patent: April 16, 2019
    Assignee: International Business Machines Corporation
    Inventors: Priyam Aneja, Laxmi V. Bhatt, Sonal Bhatt, Meghali V. Munoli, Sonia L. Sequeira, Hemant K. Sivaswamy
  • Publication number: 20160260042
    Abstract: A method for comparing and analyzing data based on data analysis reports is provided. The method may include receiving a first dataset. The method may also include identifying a first portion of the first dataset and a second portion of the first dataset. Additionally, the method may include comparing and analyzing the first portion of the first dataset with the second portion of the first dataset. The method may also include receiving a second dataset from a location different from the first dataset. The method may further include comparing and analyzing the first portion and second portion of the first dataset with the second dataset. The method may also include receiving a plurality of first analysis results and a plurality of second analysis results based on the comparisons and the analyses. The method may also include presenting the plurality of first analysis results and the plurality of second analysis results.
    Type: Application
    Filed: March 25, 2016
    Publication date: September 8, 2016
    Inventors: Priyam Aneja, Laxmi V. Bhatt, Sonal Bhatt, Meghali V. Munoli, Sonia L. Sequeira, Hemant K. Sivaswamy
  • Publication number: 20160259828
    Abstract: A method for comparing and analyzing data based on data analysis reports is provided. The method may include receiving a first dataset. The method may also include identifying a first portion of the first dataset and a second portion of the first dataset. Additionally, the method may include comparing and analyzing the first portion of the first dataset with the second portion of the first dataset. The method may also include receiving a second dataset from a location different from the first dataset. The method may further include comparing and analyzing the first portion and second portion of the first dataset with the second dataset. The method may also include receiving a plurality of first analysis results and a plurality of second analysis results based on the comparisons and the analyses. The method may also include presenting the plurality of first analysis results and the plurality of second analysis results.
    Type: Application
    Filed: March 6, 2015
    Publication date: September 8, 2016
    Inventors: Priyam Aneja, Laxmi V. Bhatt, Sonal Bhatt, Meghali V. Munoli, Sonia L. Sequeira, Hemant K. Sivaswamy
  • Publication number: 20150066806
    Abstract: Providing product review related information to a product review user by: (i) determining a plurality of products having a common product type; (ii) determining a plurality of product features of the plurality of products of the common product type; and (iii) determining, independently of any input from the product review user, a plurality of feature clusters, with each feature cluster including at least two features of the plurality of product features. This software-defined clustering of product features can help review users find the most suitable products and/or services.
    Type: Application
    Filed: June 24, 2014
    Publication date: March 5, 2015
    Inventors: Priyam Aneja, Vijay Bharti, Rohit Jain, Jeremiah Joseph, Hemant K. Sivaswamy
  • Publication number: 20150066803
    Abstract: Providing product review related information to a product review user by: (i) determining a plurality of products having a common product type; (ii) determining a plurality of product features of the plurality of products of the common product type; and (iii) determining, independently of any input from the product review user, a plurality of feature clusters, with each feature cluster including at least two features of the plurality of product features. This software-defined clustering of product features can help review users find the most suitable products and/or services.
    Type: Application
    Filed: August 27, 2013
    Publication date: March 5, 2015
    Applicant: International Business Machines Corporation
    Inventors: Priyam Aneja, Vijay Bharti, Rohit Jain, Jeremiah Joseph, Hemant K. Sivaswamy