Patents by Inventor Amerineni Rohith

Amerineni Rohith 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: 10088974
    Abstract: Techniques for providing information about large data sets may be provided. For example, a summary of the data sets and of patterns between the data sets may be presented. Traffic associated with a network-based resource that includes a number of documents may be an example of large data sets. The traffic may be analyzed and traffic patterns may be determined. A structure may be generated based on the traffic patterns and may use nodes to represent the documents. Further, a visualization of the structure may be presented. The visualization may include recursive clusters of the nodes, where the clusters may be labeled based on the respective clustered nodes.
    Type: Grant
    Filed: January 23, 2014
    Date of Patent: October 2, 2018
    Assignee: Adobe Systems Incorporated
    Inventors: Ritwik Sinha, Piyush Kumar, Amerineni Rohith, Rajat Kateja
  • Publication number: 20150205449
    Abstract: Techniques for providing information about large data sets may be provided. For example, a summary of the data sets and of patterns between the data sets may be presented. Traffic associated with a network-based resource that includes a number of documents may be an example of large data sets. The traffic may be analyzed and traffic patterns may be determined. A structure may be generated based on the traffic patterns and may use nodes to represent the documents. Further, a visualization of the structure may be presented. The visualization may include recursive clusters of the nodes, where the clusters may be labeled based on the respective clustered nodes.
    Type: Application
    Filed: January 23, 2014
    Publication date: July 23, 2015
    Applicant: Adobe Systems Incorporated
    Inventors: Ritwik Sinha, Piyush Kumar, Amerineni Rohith, Rajat Kateja