Patents by Inventor PRAVEEN R S

PRAVEEN R S 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).

  • System and method for automatically identifying an anomalous pattern
    Patent number: 11907094
    Abstract: A system and method for automatically identifying an anomalous pattern. The method encompasses receiving, a stream of data. The method further comprises determining, a monitoring metric for at least one of one or more dimensions and one or more groups of dimensions associated with the stream of data, at a target time and at a benchmark time period. Further the method comprises identifying, the monitoring metric at the target time as an outlier to the monitoring metric at the benchmark time period based at least on a threshold value. The method further comprises automatically identifying, the anomalous pattern based at least on said identification of the monitoring metric for at least one of the dimension(s) and the group(s) of dimensions at the target time as the outlier to the monitoring metric for at least one of the dimension(s) and the group(s) of dimensions at the benchmark time period.
    Type: Grant
    Filed: July 19, 2022
    Date of Patent: February 20, 2024
    Assignee: Flipkart Internet Private Limited
    Inventors: Richa Arora, Priyanshu Raj, Srinivas Deshpande, Ananda Matthur, Roshan Nair, Sasikanth Lenka, Praveen R S
  • SYSTEM AND METHOD FOR AUTOMATICALLY IDENTIFYING AN ANOMALOUS PATTERN
    Publication number: 20230028223
    Abstract: A system and method for automatically identifying an anomalous pattern. The method encompasses receiving, a stream of data. The method further comprises determining, a monitoring metric for at least one of one or more dimensions and one or more groups of dimensions associated with the stream of data, at a target time and at a benchmark time period. Further the method comprises identifying, the monitoring metric at the target time as an outlier to the monitoring metric at the benchmark time period based at least on a threshold value. The method further comprises automatically identifying, the anomalous pattern based at least on said identification of the monitoring metric for at least one of the dimension(s) and the group(s) of dimensions at the target time as the outlier to the monitoring metric for at least one of the dimension(s) and the group(s) of dimensions at the benchmark time period.
    Type: Application
    Filed: July 19, 2022
    Publication date: January 26, 2023
    Applicant: Flipkart Internet Private Limited
    Inventors: Richa ARORA, Priyanshu RAJ, Srinivas DESHPANDE, Ananda MATTHUR, Roshan NAIR, Sasikanth LENKA, PRAVEEN R S