Patents by Inventor Harsh Rathi

Harsh Rathi 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).

  • Identifying significant anomalous segments of a metrics dataset
    Patent number: 10129274
    Abstract: In some embodiments, a processor accesses a metrics dataset, which includes metrics whose values indicate data network activity. The metrics dataset has segments. Each segment is a respective subset of the data items having a common feature. The processor identifies anomalous segments in the metrics dataset. Each anomalous segment has a segment trend that is different from a trend associated with the larger metrics dataset. The processor generates a data graph that includes nodes, which represent anomalous segments, and edges connecting the nodes. The processor applies weights to the edges. Each weight indicates (i) a similarity between a pair of anomalous segments represented by the nodes connected by the weighted edge and (ii) a relationship between the anomalous segments and the metrics dataset. The processor ranks the anomalous segments based on the applied weights and selects one or more segments with sufficiently high ranks.
    Type: Grant
    Filed: September 22, 2016
    Date of Patent: November 13, 2018
    Assignee: Adobe Systems Incorporated
    Inventors: Suraj Satishkumar Sheth, Shagun Sodhani, Rohit Bajaj, Nitin Goel, Manoj Awasthi, Kapil Malik, Harsh Rathi, Balaji Krishnamurthy
  • IDENTIFYING SIGNIFICANT ANOMALOUS SEGMENTS OF A METRICS DATASET
    Publication number: 20180083995
    Abstract: In some embodiments, a processor accesses a metrics dataset, which includes metrics whose values indicate data network activity. The metrics dataset has segments. Each segment is a respective subset of the data items having a common feature. The processor identifies anomalous segments in the metrics dataset. Each anomalous segment has a segment trend that is different from a trend associated with the larger metrics dataset. The processor generates a data graph that includes nodes, which represent anomalous segments, and edges connecting the nodes. The processor applies weights to the edges. Each weight indicates (i) a similarity between a pair of anomalous segments represented by the nodes connected by the weighted edge and (ii) a relationship between the anomalous segments and the metrics dataset. The processor ranks the anomalous segments based on the applied weights and selects one or more segments with sufficiently high ranks.
    Type: Application
    Filed: September 22, 2016
    Publication date: March 22, 2018
    Inventors: Suraj Satishkumar Sheth, Shagun Sodhani, Rohit Bajaj, Nitin Goel, Manoj Awasthi, Kapil Malik, Harsh Rathi, Balaji Krishnamurthy